Related references
Note: Only part of the references are listed.Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization
Wei Li et al.
ENGINEERING WITH COMPUTERS (2022)
Pareto Self-Paced Learning Based on Differential Evolution
Hao Li et al.
IEEE TRANSACTIONS ON CYBERNETICS (2021)
Adaptive iterative learning control based on particle swarm optimization
Qun Gu et al.
JOURNAL OF SUPERCOMPUTING (2020)
Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective
Xianghua Chu et al.
NEURAL COMPUTING & APPLICATIONS (2020)
An enhanced associative learning-based exploratory whale optimizer for global optimization
Ali Asghar Heidari et al.
NEURAL COMPUTING & APPLICATIONS (2020)
An improved cuckoo search algorithm with self-adaptive knowledge learning
Juan Li et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A New Teaching-Learning-based Chicken Swarm Optimization Algorithm
Sanchari Deb et al.
SOFT COMPUTING (2020)
Adaptive population structure learning in evolutionary multi-objective optimization
Shuai Wang et al.
SOFT COMPUTING (2020)
Hierarchical Learning Water Cycle Algorithm
Caihua Chen et al.
APPLIED SOFT COMPUTING (2020)
A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments
Reza Vafashoar et al.
APPLIED SOFT COMPUTING (2020)
Behavior of crossover operators in NSGA-III for large-scale optimization problems
Jiao-Hong Yi et al.
INFORMATION SCIENCES (2020)
QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks
Jianmin Liu et al.
COMPUTER COMMUNICATIONS (2020)
Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis
Qingyong Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Q-learning-based simulated annealing algorithm for constrained engineering design problems
Hussein Samma et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Learning-based elephant herding optimization algorithm for solving numerical optimization problems
Wei Li et al.
KNOWLEDGE-BASED SYSTEMS (2020)
An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection
Diego Oliva et al.
SOFT COMPUTING (2020)
Using Cuckoo Search Algorithm with Q-Learning and Genetic Operation to Solve the Problem of Logistics Distribution Center Location
Juan Li et al.
MATHEMATICS (2020)
A learning-based memetic algorithm for the multiple vehicle pickup and delivery problem with LIFO loading
Bo Peng et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis
Ashraf Darwish et al.
SWARM AND EVOLUTIONARY COMPUTATION (2020)
An aggregative learning gravitational search algorithm with self-adaptive gravitational constants
Zhenyu Lei et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Marine Predators Algorithm: A nature-inspired metaheuristic
Afshin Faramarzi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Q-learning based dynamic task scheduling for energy-efficient cloud computing
Ding Ding et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization
Zi-Min Gu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Enhancing MOEA/D with information feedback models for large-scale many-objective optimization
Yin Zhang et al.
INFORMATION SCIENCES (2020)
Interval Multiobjective Optimization With Memetic Algorithms
Jing Sun et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Elephant Herding Optimization: Variants, Hybrids, and Applications
Juan Li et al.
MATHEMATICS (2020)
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
Da Gao et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Monarch butterfly optimization
Gai-Ge Wang et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Multiobjective sorting-based learning particle swarm optimization for continuous optimization
Gang Xu et al.
NATURAL COMPUTING (2019)
Multiobjective sorting-based learning particle swarm optimization for continuous optimization
Gang Xu et al.
NATURAL COMPUTING (2019)
Improving Metaheuristic Algorithms With Information Feedback Models
Gai-Ge Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Bayesian network hybrid learning using an elite-guided genetic algorithm
Carlo Contaldi et al.
ARTIFICIAL INTELLIGENCE REVIEW (2019)
Q-learning approach to coordinated optimization of passenger inflow control with train skip-stopping on a urban rail transit line
Zhibin Jiang et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2019)
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning
Maoguo Gong et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
A novel deep model with multi-loss and efficient training for person re-identification
Di Wu et al.
NEUROCOMPUTING (2019)
An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network
Shirin Dora et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
A new learning-based adaptive multi-objective evolutionary algorithm
Jianyong Sun et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
A differential evolution algorithm with dual preferred learning mutation
Meijun Duan et al.
APPLIED INTELLIGENCE (2019)
Scheduling Semiconductor Testing Facility by Using Cuckoo Search Algorithm With Reinforcement Learning and Surrogate Modeling
ZhengCai Cao et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)
An active learning brain storm optimization algorithm with a dynamically changing cluster cycle for global optimization
Zijian Cao et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation
Lin Sun et al.
COMPLEXITY (2019)
Multi-objective firefly algorithm based on compensation factor and elite learning
Li Lv et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
A novel deep output kernel learning method for bearing fault structural diagnosis
Wentao Mao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
Hong-Yan Sang et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Particle swarm optimization based on dimensional learning strategy
Guiping Xu et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Adaptive comprehensive learning particle swarm optimization with cooperative archive
Anping Lin et al.
APPLIED SOFT COMPUTING (2019)
A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling
Krisanarach Nitisiri et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2019)
Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning
Kai Ma et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
A hybrid self-adaptive sine cosine algorithm with opposition based learning
Shubham Gupta et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Differential mutation and novel social learning particle swarm optimization algorithm
Xinming Zhang et al.
INFORMATION SCIENCES (2019)
An Intelligent Channel Assignment Approach for Minimum Interference in Wireless Mesh Networks Using Learning Automata and Genetic Algorithms
Nandini Balusu et al.
WIRELESS PERSONAL COMMUNICATIONS (2019)
Network configuration multi-factory scheduling with batch delivery: A learning-oriented simulated annealing approach
Fateme Marandi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2019)
A context sensitive energy thresholding based 3D Otsu function for image segmentation using human learning optimization
Ashish Kumar Bhandari et al.
APPLIED SOFT COMPUTING (2019)
A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning
Saud Almahdi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Fruit fly optimization algorithm based on a hybrid adaptive-cooperative learning and its application in multilevel image thresholding
Guoshen Ding et al.
APPLIED SOFT COMPUTING (2019)
Image Co-Segmentation via Locally Biased Discriminative Clustering
Xianpeng Liang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)
Cellular learning automata based bare bones PSO with maximum likelihood rotated mutations
Reza Vafashoar et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Global genetic learning particle swarm optimization with diversity enhancement by ring topology
Anping Lin et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm
Teodoro Cardoso Bora et al.
APPLIED THERMAL ENGINEERING (2019)
Multi-Leader Comprehensive Learning Particle Swarm Optimization with Adaptive Mutation for Economic Load Dispatch Problems
Anping Lin et al.
ENERGIES (2019)
Backtracking search optimization algorithm based on knowledge learning
Debao Chen et al.
INFORMATION SCIENCES (2019)
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
Zhennao Cai et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Robust dimensionality reduction via feature space to feature space distance metric learning
Bo Li et al.
NEURAL NETWORKS (2019)
A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network
Jin Xie et al.
NEUROCOMPUTING (2019)
An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning
Songyi Xiao et al.
MATHEMATICS (2019)
Whale Optimization Algorithm Based on Lamarckian Learning for Global Optimization Problems
Qiang Zhang et al.
IEEE ACCESS (2019)
An Efficient Grey Wolf Optimizer with Opposition-Based Learning and Chaotic Local Search for Integer and Mixed-Integer Optimization Problems
Shubham Gupta et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2019)
A Multi-Objective Particle Swarm Optimization Algorithm Based on Gaussian Mutation and an Improved Learning Strategy
Ying Sun et al.
MATHEMATICS (2019)
Omnidirectional Feature Learning for Person Re-Identification
Di Wu et al.
IEEE ACCESS (2019)
An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems
Hong-Yan Sang et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2018)
A novel hybrid model using teaching-learning-based optimization and a support vector machine for commodity futures index forecasting
Shom Prasad Das et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2018)
Solving randomized time-varying knapsack problems by a novel global firefly algorithm
Yanhong Feng et al.
ENGINEERING WITH COMPUTERS (2018)
Reinforcement Learning-Based Differential Evolution With Cooperative Coevolution for a Compensatory Neuro-Fuzzy Controller
Cheng-Hung Chen et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
An improved optimization method based on krill herd and artificial bee colony with information exchange
Heqi Wang et al.
MEMETIC COMPUTING (2018)
Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models
Kunjie Yu et al.
APPLIED ENERGY (2018)
A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching problem
Ehsan Ahmadi et al.
APPLIED SOFT COMPUTING (2018)
Orthogonal learning competitive swarm optimizer for economic dispatch problems
Guojiang Xiong et al.
APPLIED SOFT COMPUTING (2018)
Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems
Tao Zhu et al.
APPLIED SOFT COMPUTING (2018)
On the use of local search heuristics to improve GES-based Bayesian network learning
Juan I. Alonso et al.
APPLIED SOFT COMPUTING (2018)
A novel adaptive e-learning model based on Big Data by using competence-based knowledge and social learner activities
Marouane Birjali et al.
APPLIED SOFT COMPUTING (2018)
A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution
Rizk M. Rizk-Allah et al.
APPLIED SOFT COMPUTING (2018)
Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem
Yanhong Feng et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
An adaptive large neighborhood search heuristic for dynamic vehicle routing problems
Shifeng Chen et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
Improved grasshopper optimization algorithm using opposition-based learning
Ahmed A. Ewees et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems
Jiao-Hong Yi et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Level set evolution with sparsity constraint for object extraction
Guoqi Liu et al.
IET IMAGE PROCESSING (2018)
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling
Xiao-Ning Shen et al.
INFORMATION SCIENCES (2018)
A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems
Leilei Cao et al.
INFORMATION SCIENCES (2018)
A hybrid particle swarm optimization algorithm using adaptive learning strategy
Feng Wang et al.
INFORMATION SCIENCES (2018)
A two-dimensional (2-D) learning framework for Particle Swarm based feature selection
Faizal Hafiz et al.
PATTERN RECOGNITION (2018)
Cryptanalysis of a colour image encryption using chaotic APFM nonlinear adaptive filter
Haiju Fan et al.
SIGNAL PROCESSING (2018)
Parametric active contour based on sparse decomposition for multi-objects extraction
Guoqi Liu et al.
SIGNAL PROCESSING (2018)
Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks
E. Emary et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
An elite opposition-flower pollination algorithm for a 0-1 knapsack problem
Mohamed Abdel Basset et al.
International Journal of Bio-Inspired Computation (2018)
A Dynamic Neighborhood Learning-Based Gravitational Search Algorithm
Aizhu Zhang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2018)
A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy
Zhenshou Song et al.
IEEE ACCESS (2018)
Semi-Supervised Community Detection Based on Distance Dynamics
Lilin Fan et al.
IEEE ACCESS (2018)
Binary Moth Search Algorithm for Discounted {0-1} Knapsack Problem
Yan-Hong Feng et al.
IEEE ACCESS (2018)
Discrete comprehensive learning particle swarm optimization algorithm with Metropolis acceptance criterion for traveling salesman problem
Yiwen Zhong et al.
SWARM AND EVOLUTIONARY COMPUTATION (2018)
Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning
Arup Kumar Sadhu et al.
SWARM AND EVOLUTIONARY COMPUTATION (2018)
Opposition based learning: A literature review
Sedigheh Mandavi et al.
SWARM AND EVOLUTIONARY COMPUTATION (2018)
Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem
K. Srikanth et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
A learning automata-based clustering algorithm using ant swarm intelligence
Babak Anari et al.
EXPERT SYSTEMS (2018)
Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network
Wentao Mao et al.
ADVANCES IN MECHANICAL ENGINEERING (2018)
Action-Selection Method for Reinforcement Learning Based on Cuckoo Search Algorithm
Bilal H. Abed-alguni
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2018)
Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization
Xiang Yu et al.
INFORMATION (2018)
Global harmony search with generalized opposition-based learning
Zhaolu Guo et al.
SOFT COMPUTING (2017)
A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor
Rizk M. Rizk-Allah et al.
JOURNAL OF SUPERCOMPUTING (2017)
Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study
Wentao Mao et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2017)
Biogeography-based learning particle swarm optimization
Xu Chen et al.
SOFT COMPUTING (2017)
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour
Gai Ge Wang et al.
International Journal of Bio-Inspired Computation (2017)
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems
Yaqing Hou et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2017)
Gesture segmentation based on a two-phase estimation of distribution algorithm
Ke Liu et al.
INFORMATION SCIENCES (2017)
Learning backtracking search optimisation algorithm and its application
Debao Chen et al.
INFORMATION SCIENCES (2017)
A return-cost-based binary firefly algorithm for feature selection
Yong Zhang et al.
INFORMATION SCIENCES (2017)
A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber-physical systems
Zhihua Cui et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2017)
Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages
Qiaoyong Jiang et al.
KNOWLEDGE-BASED SYSTEMS (2017)
A novel hybrid teaching learning based multi-objective particle swarm optimization
Tingli Cheng et al.
NEUROCOMPUTING (2017)
Multi-task ranking SVM for image cosegmentation
Xianpeng Liang et al.
NEUROCOMPUTING (2017)
Opposition based learning ingrained shuffled frog-leaping algorithm
Tarun Kumar Sharma et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2017)
Improved Differential Evolution With a Modified Orthogonal Learning Strategy
Yu-Xiang Lei et al.
IEEE ACCESS (2017)
Query-Based Learning for Dynamic Particle Swarm Optimization
Ray-I Chang et al.
IEEE ACCESS (2017)
Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems
Xiang Yu et al.
PLOS ONE (2017)
A novel multi-swarm particle swarm optimization with dynamic learning strategy
Wenxing Ye et al.
APPLIED SOFT COMPUTING (2017)
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2017)
Integrating estimation of distribution algorithms versus Q-learning into Meta-RaPS for solving the 0-1 multidimensional knapsack problem
Arif Arin et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
Complexity of late work minimization in flow shop systems and a particle swarm optimization algorithm for learning effect
Xin Chen et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
A reinforcement learning approach to parameter estimation in dynamic job shop scheduling
Jamal Shahrabi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
An Improved Brain-Inspired Emotional Learning Algorithm for Fast Classification
Ying Mei et al.
ALGORITHMS (2017)
An improved artificial bee colony optimization algorithm based on orthogonal learning for optimal power flow problem
Wenlei Bai et al.
CONTROL ENGINEERING PRACTICE (2017)
A Q-learning-based swarm optimization algorithm for economic dispatch problem
Yi-Zeng Hsieh et al.
NEURAL COMPUTING & APPLICATIONS (2016)
Self-adaptive extreme learning machine
Gai-Ge Wang et al.
NEURAL COMPUTING & APPLICATIONS (2016)
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
Seyedali Mirjalili
NEURAL COMPUTING & APPLICATIONS (2016)
SAMCCTLBO: a multi-class cooperative teaching-learning-based optimization algorithm with simulated annealing
Debao Chen et al.
SOFT COMPUTING (2016)
Three-dimensional path planning for UCAV using an improved bat algorithm
Gai-Ge Wang et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2016)
Cooperative learning for radial basis function networks using particle swarm optimization
Alex Alexandridis et al.
APPLIED SOFT COMPUTING (2016)
Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions
Gang Chen et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)
BNC-PSO: structure learning of Bayesian networks by Particle Swarm Optimization
S. Gheisari et al.
INFORMATION SCIENCES (2016)
Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice
M. Almaraashi et al.
INFORMATION SCIENCES (2016)
Social learning optimization (SLO) algorithm paradigm and its application in QoS-aware cloud service composition
Zhi-Zhong Liu et al.
INFORMATION SCIENCES (2016)
Opposition-based krill herd algorithm with Cauchy mutation and position clamping
Gai-Ge Wang et al.
NEUROCOMPUTING (2016)
Constrained differential evolution using generalized opposition-based learning
Wenhong Wei et al.
SOFT COMPUTING (2016)
An Orthogonal Evolutionary Algorithm With Learning Automata for Multiobjective Optimization
Cai Dai et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
Genetic Learning Particle Swarm Optimization
Yue-Jiao Gong et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
Particle Swarm Optimization With Interswarm Interactive Learning Strategy
Quande Qin et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
Opposition-based learning in the shuffled bidirectional differential evolution algorithm
Morteza Alinia Ahandani
SWARM AND EVOLUTIONARY COMPUTATION (2016)
Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem
Jiao-Hong Yi et al.
ADVANCES IN MECHANICAL ENGINEERING (2016)
Lagrange Interpolation Learning Particle Swarm Optimization
Zhang Kai et al.
PLOS ONE (2016)
IMMUNOLOGICAL ALGORITHM-BASED NEURAL NETWORK LEARNING FOR SALES FORECASTING
Zhen-Yao Chen et al.
APPLIED ARTIFICIAL INTELLIGENCE (2015)
Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning
Urszula Boryczka et al.
APPLIED SOFT COMPUTING (2015)
A novel parallel multi-swarm algorithm based on comprehensive learning particle swarm optimization
Saban Gulcu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
Juergen Branke et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2015)
Hybrid learning clonal selection algorithm
Yong Peng et al.
INFORMATION SCIENCES (2015)
Opposition-based learning in shuffled frog leaping: An application for parameter identification
Morteza Alinia Ahandani et al.
INFORMATION SCIENCES (2015)
A social learning particle swarm optimization algorithm for scalable optimization
Ran Cheng et al.
INFORMATION SCIENCES (2015)
Feature selection algorithm based on bare bones particle swarm optimization
Yong Zhang et al.
NEUROCOMPUTING (2015)
Visual-Patch-Attention-Aware Saliency Detection
Muwei Jian et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Artificial Bee Colony Algorithm Based on Information Learning
Wei-Feng Gao et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
Nandar Lynn et al.
SWARM AND EVOLUTIONARY COMPUTATION (2015)
Integrating opposition-based learning into the evolution equation of bare-bones particle swarm optimization
Hao Liu et al.
SOFT COMPUTING (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
An effective krill herd algorithm with migration operator in biogeography-based optimization
Gai-Ge Wang et al.
APPLIED MATHEMATICAL MODELLING (2014)
Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression
Zhongyi Hu et al.
APPLIED SOFT COMPUTING (2014)
An improved particle swarm optimizer based on tabu detecting and local learning strategy in a shrunk search space
Xuewen Xia et al.
APPLIED SOFT COMPUTING (2014)
Differential evolution based on covariance matrix learning and bimodal distribution parameter setting
Yong Wang et al.
APPLIED SOFT COMPUTING (2014)
Teaching and peer-learning particle swarm optimization
Wei Hong Lim et al.
APPLIED SOFT COMPUTING (2014)
Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud
Xingquan Zuo et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2014)
An adaptive two-layer particle swarm optimization with elitist learning strategy
Wei Hong Lim et al.
INFORMATION SCIENCES (2014)
Bidirectional teaching and peer-learning particle swarm optimization
Wei Hong Lim et al.
INFORMATION SCIENCES (2014)
Illumination-insensitive texture discrimination based on illumination compensation and enhancement
Muwei Jian et al.
INFORMATION SCIENCES (2014)
Facial-feature detection and localization based on a hierarchical scheme
Muwei Jian et al.
INFORMATION SCIENCES (2014)
A hybrid particle swarm optimization method for structure learning of probabilistic relational models
Xiao-Lin Li et al.
INFORMATION SCIENCES (2014)
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers
Michela Antonelli et al.
INFORMATION SCIENCES (2014)
Chaotic Krill Herd algorithm
Gai-Ge Wang et al.
INFORMATION SCIENCES (2014)
Self-adaptive learning based discrete differential evolution algorithm for solving CJWTA problem
Yu Xue et al.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS (2014)
An improved fruit fly optimization algorithm for continuous function optimization problems
Quan-Ke Pan et al.
KNOWLEDGE-BASED SYSTEMS (2014)
Quadratic interpolation based orthogonal learning particle swarm optimization algorithm
Ruochen Liu et al.
NATURAL COMPUTING (2014)
Enhancing the performance of cuckoo search algorithm using orthogonal learning method
Xiangtao Li et al.
NEURAL COMPUTING & APPLICATIONS (2014)
MOEA/D with opposition-based learning for multiobjective optimization problem
Xiaoliang Ma et al.
NEUROCOMPUTING (2014)
An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties
Bahman Bahmani-Firouzi et al.
ENERGY (2013)
Function optimisation by learning automata
Q. H. Wu et al.
INFORMATION SCIENCES (2013)
Scheduling with a position-weighted learning effect based on sum-of-logarithm-processing-times and job position
T. C. E. Cheng et al.
INFORMATION SCIENCES (2013)
Hybrid self-adaptive learning based particle swarm optimization and support vector regression model for grade estimation
Xiao-li Li et al.
NEUROCOMPUTING (2013)
CLA-DE: a hybrid model based on cellular learning automata for numerical optimization
R. Vafashoar et al.
APPLIED INTELLIGENCE (2012)
Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method
Li Xiang-Tao et al.
CHINESE PHYSICS B (2012)
Krill herd: A new bio-inspired optimization algorithm
Amir Hossein Gandomi et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2012)
A hybrid optimization method of harmony search and opposition-based learning
X. Z. Gao et al.
ENGINEERING OPTIMIZATION (2012)
Particle swarm optimization with query-based learning for multi-objective power contract problem
Ray-I Chang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Non-Dominated Sorting Genetic Algorithm Based on Reinforcement Learning to Optimization of Broad-Band Reflector Antennas Satellite
Teodoro C. Bora et al.
IEEE TRANSACTIONS ON MAGNETICS (2012)
Example-based learning particle swarm optimization for continuous optimization
Han Huang et al.
INFORMATION SCIENCES (2012)
Evolutionary dynamic optimization: A survey of the state of the art
Trung Thanh Nguyen et al.
SWARM AND EVOLUTIONARY COMPUTATION (2012)
A note on the learning automata based algorithms for adaptive parameter selection in PSO
A. B. Hashemi et al.
APPLIED SOFT COMPUTING (2011)
Orthogonal Learning Particle Swarm Optimization
Zhi-Hui Zhan et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)
Enhancing particle swarm optimization using generalized opposition-based learning
Hui Wang et al.
INFORMATION SCIENCES (2011)
Self-adaptive learning based particle swarm optimization
Yu Wang et al.
INFORMATION SCIENCES (2011)
Comprehensive learning particle swarm optimization for reactive power dispatch
K. Mahadevan et al.
APPLIED SOFT COMPUTING (2010)
Differential Evolution for learning the classification method PROAFTN
Feras Al-Obeidat et al.
KNOWLEDGE-BASED SYSTEMS (2010)
Firefly algorithm, stochastic test functions and design optimisation
Xin-She Yang
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2010)
A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding
Madhubanti Maltra et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga et al.
JOURNAL OF GLOBAL OPTIMIZATION (2007)
A novel numerical optimization algorithm inspired from weed colonization
A. R. Mehrabian et al.
ECOLOGICAL INFORMATICS (2006)
Self-generation RBFNs using evolutional PSO learning
Hsuan-Ming Feng
NEUROCOMPUTING (2006)
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
J. J. Liang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2006)
Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization
M Eusuff et al.
ENGINEERING OPTIMIZATION (2006)
Varieties of learning automata: An overview
MAL Thathachar et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2002)
Share Paper
