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A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch
TLDR
In this paper, we propose a new bare-bones multi-objective particle swarm optimization algorithm to solve the environmental/economic dispatch problems. Expand
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Robot path planning in uncertain environment using multi-objective particle swarm optimization
TLDR
In many real-world applications, workspace of robots often involves various danger sources that robots must evade, such as fire in rescue mission, landmines and enemies in war field. Expand
  • 242
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A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies
  • Y. Liu, G. Yen, D. Gong
  • Computer Science
  • IEEE Transactions on Evolutionary Computation
  • 1 August 2019
TLDR
We propose a novel multimodal multiobjective evolutionary algorithm using two-archive and recombination strategies. Expand
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Environmental/economic power dispatch using a hybrid multi-objective optimization algorithm
Abstract To solve the highly constrained environmental/economic dispatch problem involving conflicting objectives, this paper presents a hybrid multi-objective optimization algorithm based onExpand
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Feature selection algorithm based on bare bones particle swarm optimization
TLDR
In this paper, we propose a new method to find optimal feature subset by the BPSO, called the binary BPSo. Expand
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A PSO-based multi-objective multi-label feature selection method in classification
TLDR
This paper studies a multi-label feature selection algorithm using an improved multi-objective particle swarm optimization (PSO), with the purpose of searching for a Pareto set of non-dominated solutions (feature subsets). Expand
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Automatic detection of infeasible paths in software testing
TLDR
A challenging problem in path-oriented test data generation is the presence of infeasible paths. Expand
  • 32
  • 5
A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy
TLDR
We propose a novel many-objective evolutionary algorithm using a one-by-one selection strategy. Expand
  • 99
  • 5
  • PDF
Hybrid bare-bones PSO for dynamic economic dispatch with valve-point effects
TLDR
This paper presents an efficient hybrid particle swarm optimization algorithm to solve dynamic economic dispatch problems with valve-point effects, by integrating an improved bare-bones particle Swarm optimization with a local searcher called directionally chaotic search (DCS). Expand
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  • 5
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems
TLDR
We present a multidirectional prediction strategy to enhance the performance of evolutionary algorithms (EAs) in solving a dynamic multiobjective optimization problem (DMOP). Expand
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