Heterogeneous cognitive learning particle swarm optimization for large-scale optimization problems

Proximity ranking-based multimodal differential evolution

(2023) Junna Zhang et al.   Swarm and Evolutionary Computation

Merged Differential Grouping for Large-scale Global Optimization

(2022) Xiaoliang Ma et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization

(2022) Mengmeng Sheng et al.   KNOWLEDGE-BASED SYSTEMS

Three-learning strategy particle swarm algorithm for global optimization problems

(2022) Xinming Zhang et al.   INFORMATION SCIENCES

Stochastic stability analysis of composite dynamic system for particle swarm optimization

(2022) Wen Yong Dong et al.   INFORMATION SCIENCES

Differential Elite Learning Particle Swarm Optimization for Global Numerical Optimization

(2022) Qiang Yang et al.   Mathematics

Stochastic Cognitive Dominance Leading Particle Swarm Optimization for Multimodal Problems

(2022) Qiang Yang et al.   Mathematics

Predominant Cognitive Learning Particle Swarm Optimization for Global Numerical Optimization

(2022) Qiang Yang et al.   Mathematics

Elite Directed Particle Swarm Optimization with Historical Information for High-Dimensional Problems

(2022) Qiang Yang et al.   Mathematics

A Dimension Group-Based Comprehensive Elite Learning Swarm Optimizer for Large-Scale Optimization

(2022) Qiang Yang et al.   Mathematics

Stochastic Triad Topology Based Particle Swarm Optimization for Global Numerical Optimization

(2022) Qiang Yang et al.   Mathematics

Random neighbor elite guided differential evolution for global numerical optimization

(2022) Qiang Yang et al.   INFORMATION SCIENCES

A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization

(2022) Feng Wang et al.   INFORMATION SCIENCES

A Binary Individual Search Strategy-based Bi-objective Evolutionary Algorithm for High-dimensional Feature Selection

(2022) Tao Li et al.   INFORMATION SCIENCES

A strategy learning framework for particle swarm optimization algorithm

(2022) Hua-Qiang Xu et al.   INFORMATION SCIENCES

Elite-ordinary synergistic particle swarm optimization

(2022) Shicun Zhao et al.   INFORMATION SCIENCES

Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem

(2022) Chen Huang et al.   INFORMATION SCIENCES

An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization

(2022) An Chen et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

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

(2021) Jun-Rong Jian et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Multiple-strategy learning particle swarm optimization for large-scale optimization problems

(2020) Hao Wang et al.   Complex & Intelligent Systems

A Hybrid Deep Grouping Algorithm for Large Scale Global Optimization

(2020) Haiyan Liu et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems

(2020) Ming Yang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

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

(2020) Zi-Jia Wang et al.   IEEE Transactions on Cybernetics

An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization

(2020) Dongyang Li et al.   Swarm and Evolutionary Computation

A Two-Phase Learning-Based Swarm Optimizer for Large-Scale Optimization

(2020) Rushi Lan et al.   IEEE Transactions on Cybernetics

An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization

(2020) Qiang Yang et al.   IEEE Transactions on Cybernetics

Ranking-based biased learning swarm optimizer for large-scale optimization

(2019) Hanbo Deng et al.   INFORMATION SCIENCES

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

(2019) Jun-Rong Jian et al.   International Journal of Machine Learning and Cybernetics

Dynamic Cooperative Coevolution for Large Scale Optimization

(2019) Xin-Yuan Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling

(2019) Zi-Jia Wang et al.   IEEE Transactions on Cybernetics

A Distributed Swarm Optimizer With Adaptive Communication for Large-Scale Optimization

(2019) Qiang Yang et al.   IEEE Transactions on Cybernetics

A Survey on Cooperative Co-evolutionary Algorithms

(2018) Xiaoliang Ma et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A Recursive Decomposition Method for Large Scale Continuous Optimization

(2017) Yuan Sun et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization

(2017) Mohammad Nabi Omidvar et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A Level-based Learning Swarm Optimizer for Large Scale Optimization

(2017) Qiang Yang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization

(2017) Qiang Yang et al.   IEEE Transactions on Cybernetics

A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization

(2016) Yi Mei et al.   ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE

A social learning particle swarm optimization algorithm for scalable optimization

(2015) Ran Cheng et al.   INFORMATION SCIENCES

A Competitive Swarm Optimizer for Large Scale Optimization

(2015) Ran Cheng et al.   IEEE Transactions on Cybernetics

Cooperatively Coevolving Particle Swarms for Large Scale Optimization

(2011) Xiaodong Li et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Large scale evolutionary optimization using cooperative coevolution

(2008) Zhenyu Yang et al.   INFORMATION SCIENCES