相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Golden sine cosine salp swarm algorithm for shape matching using atomic potential function
Zhehong Xiang et al.
EXPERT SYSTEMS (2022)
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems
Ian Kropp et al.
SWARM AND EVOLUTIONARY COMPUTATION (2022)
Moth-flame optimization algorithm based on diversity and mutation strategy
Lei Ma et al.
APPLIED INTELLIGENCE (2021)
MOMPA: Multi-objective marine predator algorithm
Keyu Zhong et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems
Shubham Gupta et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm
Betul Sultan Yildiz et al.
EXPERT SYSTEMS (2021)
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
Weifeng Shan et al.
KNOWLEDGE-BASED SYSTEMS (2021)
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
Eneko Osaba et al.
SWARM AND EVOLUTIONARY COMPUTATION (2021)
Comparision of the political optimization algorithm, the Archimedes optimization algorithm and the Levy flight algorithm for design optimization in industry
Betul Sultan Yildiz et al.
MATERIALS TESTING (2021)
An Improved Moth-Flame Optimization algorithm with hybrid search phase
Danilo Pelusi et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Equilibrium optimizer: A novel optimization algorithm
Afshin Faramarzi et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Moth-flame optimization algorithm: variants and applications
Mohammad Shehab et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators
Mohammed H. Qais et al.
APPLIED SOFT COMPUTING (2020)
A modified particle swarm optimization using adaptive strategy
Hao Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
An enhanced moth flame optimization
Komalpreet Kaur et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks
Ke Chen et al.
KNOWLEDGE-BASED SYSTEMS (2020)
The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
Betul Sultan Yildiz et al.
MATERIALS TESTING (2020)
Ameliorated moth-flame algorithm and its application for modeling of silicon content in liquid iron of blast furnace based fast learning network
Xiaodong Zhao et al.
APPLIED SOFT COMPUTING (2020)
An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation
Guo-Qian Lin et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm
Xiuwen Fu et al.
COMPUTER NETWORKS (2020)
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results
Abhishek Kumar et al.
SWARM AND EVOLUTIONARY COMPUTATION (2020)
Seagull optimization algorithm for solving real-world design optimization problems
Natee Panagant et al.
MATERIALS TESTING (2020)
Sine-cosine optimization algorithm for the conceptual design of automobile components
Betul Sultan Yildiz et al.
MATERIALS TESTING (2020)
A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain
Bin Cao et al.
IEEE NETWORK (2020)
Heap-based optimizer inspired by corporate rank hierarchy for global optimization
Qamar Askari et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases
Youcef Djenouri et al.
INFORMATION SCIENCES (2019)
A hybrid self-adaptive sine cosine algorithm with opposition based learning
Shubham Gupta et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Harris hawks optimization: Algorithm and applications
Ali Asghar Heidari et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Enhanced Moth-flame optimizer with mutation strategy for global optimization
Yueting Xu et al.
INFORMATION SCIENCES (2019)
Optimization of CNC cutting parameters using design of experiment (DOE) and desirability function
Ender Hazir et al.
JOURNAL OF FORESTRY RESEARCH (2018)
Pareto front feature selection based on artificial bee colony optimization
Emrah Hancer et al.
INFORMATION SCIENCES (2018)
Meta-heuristic moth swarm algorithm for multilevel thresholding image segmentation
Yongquan Zhou et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
An improved multi-population ensemble differential evolution
Lyuyang Tong et al.
NEUROCOMPUTING (2018)
Dynamic multi-swarm differential learning particle swarm optimizer
Yonggang Chen et al.
SWARM AND EVOLUTIONARY COMPUTATION (2018)
Coyote Optimization Algorithm: A new metaheuristic for global optimization problems
Juliano Pierezan et al.
2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)
Ecosystem particle swarm optimization
Jiao Liu et al.
SOFT COMPUTING (2017)
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses
Mingjing Wang et al.
NEUROCOMPUTING (2017)
The Whale Optimization Algorithm
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2016)
An adaptive multi-population artificial bee colony algorithm for dynamic optimisation problems
Shams K. Nseef et al.
KNOWLEDGE-BASED SYSTEMS (2016)
SCA: A Sine Cosine Algorithm for solving optimization problems
Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS (2016)
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS (2015)
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
Nandar Lynn et al.
SWARM AND EVOLUTIONARY COMPUTATION (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Co-evolving bee colonies by forager migration: A multi-swarm based Artificial Bee Colony algorithm for global search space
Subhodip Biswas et al.
APPLIED MATHEMATICS AND COMPUTATION (2014)
POPULATION DIVERSITY MAINTENANCE IN BRAIN STORM OPTIMIZATION ALGORITHM
Shi Cheng et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH (2014)
Differential Evolution: A Survey of the State-of-the-Art
Swagatam Das et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)
GSA: A Gravitational Search Algorithm
Esmat Rashedi et al.
INFORMATION SCIENCES (2009)
Constraint handling in genetic algorithms using a gradient-based repair method
P Chootinan et al.
COMPUTERS & OPERATIONS RESEARCH (2006)
Completely derandomized self-adaptation in evolution strategies
N Hansen et al.
EVOLUTIONARY COMPUTATION (2001)
分享论文
