4.6 Article

Distributed Differential Evolution With Adaptive Resource Allocation

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Surrogate-Assisted Hybrid-Model Estimation of Distribution Algorithm for Mixed-Variable Hyperparameters Optimization in Convolutional Neural Networks

Jian-Yu Li et al.

Summary: This article proposes a novel estimation of distribution algorithm (EDA), named surrogate-assisted hybrid-model EDA (SHEDA), for efficient hyperparameters optimization. The algorithm design includes hybrid-model EDA, orthogonal initialization strategy, and surrogate-assisted multi-level evaluation method. Experimental results show that SHEDA is very effective and efficient for hyperparameters optimization on widely used classification benchmark problems.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

Article Computer Science, Artificial Intelligence

A survey on evolutionary computation for complex continuous optimization

Zhi-Hui Zhan et al.

Summary: This paper discusses the complex optimization problems brought by economic and social development, introduces the prospects and effectiveness of evolutionary computation algorithms in solving these problems, and proposes some future research directions.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

Article Computer Science, Artificial Intelligence

Evolutionary deep learning: A survey

Zhi-Hui Zhan et al.

Summary: Deep learning has achieved great success in solving learning problems, and evolutionary computation has been applied to optimize deep learning. Given the rapid development of evolutionary deep learning, it is necessary to review and summarize existing research to provide references for future studies and applications.

NEUROCOMPUTING (2022)

Article Automation & Control Systems

Evolutionary Computation for Expensive Optimization: A Survey

Jian-Yu Li et al.

Summary: This paper provides a comprehensive survey on the advancements of evolutionary computation (EC) in efficiently solving expensive optimization problems (EOP). It analyzes the total optimization cost of EC and identifies three promising research directions. Existing works are reviewed comprehensively and future research directions are discussed. The paper aims to attract attention, encourage discussions, and stimulate new EC research ideas for solving EOP more efficiently.

MACHINE INTELLIGENCE RESEARCH (2022)

Article Engineering, Civil

A Multi-Objective Ant Colony System Algorithm for Airline Crew Rostering Problem With Fairness and Satisfaction

Shu-Zi Zhou et al.

Summary: The study introduces a new model for airline crew rostering problem that considers both fairness and satisfaction, and develops a multi-objective ACS algorithm. The algorithm uses two ant colonies to optimize fairness and satisfaction objectives, introduces a hybrid complementary heuristic strategy, and includes two types of local search strategies. Experimental results show that MOACS generally outperforms other algorithms, especially on large-scale instances.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Article Automation & Control Systems

Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization

Zi-Jia Wang et al.

Summary: A new adaptive granularity learning distributed particle swarm optimization algorithm is proposed to address the issues of slow convergence and local optima trap in large-scale optimization. Experimental results demonstrate that the algorithm outperforms other state-of-the-art large-scale optimization algorithms on 35 benchmark functions.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times

Shengchao Zhou et al.

Summary: This article discusses a single BPM scheduling problem with unequal release times and job sizes, proposing a self-adaptive differential evolution algorithm to address the issue. Experimental results show that the proposed algorithm is more effective in solving the scheduling problem compared to other existing algorithms.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Maximizing Lifetime of Range-Adjustable Wireless Sensor Networks: A Neighborhood-Based Estimation of Distribution Algorithm

Zong-Gan Chen et al.

Summary: Sensor activity scheduling is critical for extending the lifetime of wireless sensor networks (WSNs). The prevalence of sensors with adjustable sensing ranges poses new challenges, making it difficult to directly solve the lifetime maximization problem. A neighborhood-based estimation of distribution algorithm (NEDA) is proposed to address this issue, optimizing network lifetime through coverage scheme evolution and LP model solving. NEDA outperforms existing approaches and has potential applications in solving other flexible LP problems.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Generation-Level Parallelism for Evolutionary Computation: A Pipeline-Based Parallel Particle Swarm Optimization

Jian-Yu Li et al.

Summary: This article introduces a new paradigm of parallel EC algorithm by attempting to parallelize the algorithm at the generation level. The generation-level parallelism in EC algorithms shows potential applications in optimizing time consumption problems.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Computer Science, Artificial Intelligence

SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems

Sheng-Hao Wu et al.

Summary: The proposed SAFE method is a novel approach to efficiently solve expensive optimization problems by using a set of evaluation methods with different accuracy scales. Experimental results demonstrate that the method achieves better solution quality compared to baseline and state-of-the-art algorithms.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Article Computer Science, Artificial Intelligence

Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization

Jun-Rong Jian et al.

Summary: In this study, a new region encoding scheme (RES) is proposed to extend the solution representation from a single point to a region, helping EC algorithms evolve faster. The SLPSO-ARS algorithm, combining RES and adaptive region search (ARS), maintains diversity while accelerating the convergence speed.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Article Automation & Control Systems

Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates

Jian-Yu Li et al.

Summary: The proposed DDEA-PES framework improves data utilization and surrogate accuracy through diverse surrogate generation and selective ensemble methods. Experimental results show that the DDEA-PES algorithm outperforms some state-of-the-art DDEAs and requires only about 2% computational budgets compared to traditional nondata-driven methods.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Chaotic Local Search-Based Differential Evolution Algorithms for Optimization

Shangce Gao et al.

Summary: The article introduces a novel variant of the JADE algorithm that improves its performance by incorporating chaotic local search mechanisms. Experimental and statistical analyses demonstrate the superior performance of this variant compared to traditional JADE and other state-of-the-art optimization algorithms.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

Article Computer Science, Information Systems

Heuristic Load Balancing Based Zero Imbalance Mechanism in Cloud Computing

Lingfu Kong et al.

JOURNAL OF GRID COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Large-scale evolutionary optimization: a survey and experimental comparative study

Jun-Rong Jian et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems

Zi-Jia Wang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Automation & Control Systems

Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks

Jian Sun et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Review Automation & Control Systems

Differential Evolution: A review of more than two decades of research

Bilal et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

Article Computer Science, Artificial Intelligence

Neural Network-Based Information Transfer for Dynamic Optimization

Xiao-Fang Liu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Distributed Individuals for Multiple Peaks: A Novel Differential Evolution for Multimodal Optimization Problems

Zong-Gan Chen et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Automation & Control Systems

Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems

Hong Zhao et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation

Jian-Yu Li et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Automation & Control Systems

Adaptive Distributed Differential Evolution

Zhi-Hui Zhan et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

Distributed Cooperative Co-Evolution With Adaptive Computing Resource Allocation for Large Scale Optimization

Ya-Hui Jia et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Software Engineering

Parallel algorithm portfolios with performance forecasting

D. Souravlias et al.

OPTIMIZATION METHODS & SOFTWARE (2019)

Article Computer Science, Artificial Intelligence

Low-time complexity and low-cost binary particle swarm optimization algorithm for task scheduling and load balancing in cloud computing

Jean Pepe Buanga Mapetu et al.

APPLIED INTELLIGENCE (2019)

Article Computer Science, Information Systems

Energy Harvesting Network With Wireless Distributed Computing

Mohammed Alfaqawi et al.

IEEE SYSTEMS JOURNAL (2019)

Article Computer Science, Artificial Intelligence

Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization

Xiao-Fang Liu et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Automation & Control Systems

Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy

Zhigang Ren et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Computer Science, Artificial Intelligence

Dynamic Cooperative Coevolution for Large Scale Optimization

Xin-Yuan Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Hardware & Architecture

Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark

Diego Teijeiro et al.

INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

A Recursive Decomposition Method for Large Scale Continuous Optimization

Yuan Sun et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Article Automation & Control Systems

Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization

Yong-Feng Ge et al.

IEEE TRANSACTIONS ON CYBERNETICS (2018)

Article Computer Science, Information Systems

Heuristic Cloudlet Allocation Approach Based on Optimal Completion Time and Earliest Finish Time

Jean Pepe Buanga Mapetu et al.

IEEE ACCESS (2018)

Article Computer Science, Information Systems

Task scheduling and resource allocation in cloud computing using a heuristic approach

Mahendra Bhatu Gawali et al.

JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS (2018)

Article Computer Science, Theory & Methods

Cloudde: A Heterogeneous Differential Evolution Algorithm and Its Distributed Cloud Version

Zhi-Hui Zhan et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Exploiting Diversity in an Asynchronous Migration Model for Distributed Differential Evolution

Ivanoe De Falco et al.

PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION) (2017)

Article Telecommunications

Wireless distributed computing for cyclostationary feature detection

Mohammed I. M. Alfaqawi et al.

DIGITAL COMMUNICATIONS AND NETWORKS (2016)

Article Computer Science, Theory & Methods

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

Zhi-Hui Zhan et al.

ACM COMPUTING SURVEYS (2015)

Review Computer Science, Artificial Intelligence

Distributed evolutionary algorithms and their models: A survey of the state-of-the-art

Yue-Jiao Gong et al.

APPLIED SOFT COMPUTING (2015)

Article Computer Science, Artificial Intelligence

A study on scale factor/crossover interaction in distributed differential evolution

Matthieu Weber et al.

ARTIFICIAL INTELLIGENCE REVIEW (2013)

Article Computer Science, Artificial Intelligence

Differential evolution algorithm with ensemble of parameters and mutation strategies

R. Mallipeddi et al.

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters

Yong Wang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)

Article Computer Science, Information Systems

A study on scale factor in distributed differential evolution

Matthieu Weber et al.

INFORMATION SCIENCES (2011)

Article Computer Science, Artificial Intelligence

Shuffle or update parallel differential evolution for large-scale optimization

Matthieu Weber et al.

SOFT COMPUTING (2011)

Review Computer Science, Artificial Intelligence

Recent advances in differential evolution: a survey and experimental analysis

Ferrante Neri et al.

ARTIFICIAL INTELLIGENCE REVIEW (2010)

Article Computer Science, Artificial Intelligence

Scale factor inheritance mechanism in distributed differential evolution

Matthieu Weber et al.

SOFT COMPUTING (2010)

Article Computer Science, Theory & Methods

Distributed differential evolution with explorative–exploitative population families

Matthieu Weber et al.

Genetic Programming and Evolvable Machines (2009)

Article Computer Science, Artificial Intelligence

JADE: Adaptive Differential Evolution With Optional External Archive

Jingqiao Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)