4.6 Article

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

Related references

Note: Only part of the references are listed.
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

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

Indicator-Based Constrained Multiobjective Evolutionary Algorithms

Zhi-Zhong Liu et al.

Summary: This study combines indicator-based multiobjective evolutionary algorithms with constraint-handling techniques to develop a framework for constrained multiobjective optimization. Nine indicator-based CMOEAs were developed and experimentally evaluated on 19 widely used test functions. The results show the importance of both indicator-based MOEAs and constraint-handling techniques in the performance of indicator-based CMOEAs, providing valuable insights for future research.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

Article Computer Science, Information Systems

An expanded particle swarm optimization based on multi-exemplar and forgetting ability

Xuewen Xia et al.

INFORMATION SCIENCES (2020)

Article Automation & Control Systems

A Consensus Community-Based Particle Swarm Optimization for Dynamic Community Detection

Xiangxiang Zeng 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

Triple Archives Particle Swarm Optimization

Xuewen Xia et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Automation & Control Systems

Adaptive Distributed Differential Evolution

Zhi-Hui Zhan et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Automation & Control Systems

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms

Zhi-Zhong Liu et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Automation & Control Systems

A Discrete Multiobjective Particle Swarm Optimizer for Automated Assembly of Parallel Cognitive Diagnosis Tests

Ying Lin et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Computer Science, Artificial Intelligence

Particle swarm optimization based on dimensional learning strategy

Guiping Xu et al.

SWARM AND EVOLUTIONARY COMPUTATION (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 Computer Science, Artificial Intelligence

Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces

Zhi-Zhong Liu et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Proceedings Paper Engineering, Electrical & Electronic

The EZopt Optimisation Framework

Tim Hendtlass

2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2019)

Proceedings Paper Engineering, Electrical & Electronic

An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution

Stephen Chen et al.

2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2019)

Article Computer Science, Theory & Methods

Adaptive Particle Swarm Optimization with Heterogeneous Multicore Parallelism

Mark P. Wachowiak et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2017)

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, Theory & Methods

A Fine-Grained Parallel Particle Swarm Optimization on Many-core and Multi-core Architectures

Nadia Nedjah et al.

PARALLEL COMPUTING TECHNOLOGIES (PACT 2017) (2017)

Article Computer Science, Artificial Intelligence

Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model

Tiew On Ting et al.

APPLIED SOFT COMPUTING (2016)

Proceedings Paper Computer Science, Theory & Methods

Parallel Differential Evolution Based on Distributed Cloud Computing Resources for Power Electronic Circuit Optimization

Xiao-Fang Liu et al.

PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION) (2016)

Article Computer Science, Interdisciplinary Applications

Parallel hybrid PSO with CUDA for 1D heat conduction equation

Aijia Ouyang et al.

COMPUTERS & FLUIDS (2015)

Article Computer Science, Artificial Intelligence

Orthogonal Learning Particle Swarm Optimization

Zhi-Hui Zhan et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)

Article Automation & Control Systems

Adaptive Particle Swarm Optimization

Zhi-Hui Zhan et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2009)