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Open AccessJournal ArticleDOI

An Enhanced Fast Non-Dominated Solution Sorting Genetic Algorithm for Multi-objective Problems

TLDR
Wang et al. as mentioned in this paper proposed an enhanced fast NSGA-II based on a special congestion strategy and adaptive crossover strategy, which can improve PS distribution and convergence and maintain PF precision.
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This article is published in Information Sciences.The article was published on 2021-11-25 and is currently open access. It has received 186 citations till now. The article focuses on the topics: Crossover & Sorting.

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Citations
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Journal ArticleDOI

Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism

TL;DR: In this paper , a parameter adaptation-based ant colony optimization algorithm based on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy system with the fuzzy reasoning ability and 3-Opt algorithm with local search ability, namely PF3SACO is proposed to improve the optimization ability and convergence, avoid to fall into local optimum.
Journal ArticleDOI

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

TL;DR: Wang et al. as mentioned in this paper proposed a multilevel thresholding image segmentation (MTIS) method based on an enhanced multiverse optimizer (CCMVO), which has a more assertive global search ability and can jump out of the local optimum in optimization.
Journal ArticleDOI

An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation

TL;DR: In this article , the idea of cultural algorithm and different mutation strategies are introduced into belief space to balance the global exploration ability and local optimization ability, and a generalized opposition-based learning strategy is designed to improve the convergence speed of local optimization and increase the population diversity.
Journal ArticleDOI

Fractional-Order Controller for Course-Keeping of Underactuated Surface Vessels Based on Frequency Domain Specification and Improved Particle Swarm Optimization Algorithm

TL;DR: A novel particle swarm optimization (PSO) algorithm for dynamic adjustment of the FO PIλDµ controller parameters, which has the advantages of a small overshoot, short adjustment time, precise control, and strong anti-disturbance control.
Journal ArticleDOI

Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection

TL;DR: In this article , an advanced shuffled frog leaping algorithm (DSSRLFLA) is developed for model evaluation and feature selection, which incorporates a dynamic step size adjustment strategy based on historical information, a specular reflection learning mechanism, and a simulated annealing mechanism based on chaotic mapping and levy flight.
References
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Journal ArticleDOI

A fast and elitist multiobjective genetic algorithm: NSGA-II

TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Book ChapterDOI

Real-Coded Genetic Algorithms and Interval-Schemata

TL;DR: It is shown how interval-schemata are analogous to Holland's symbol- schemata and provide a key to understanding the implicit parallelism of real-valued GAs and support the intuition that real-coded GAs should have an advantage over binary coded GAs in exploiting local continuities in function optimization.
Journal ArticleDOI

RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm

TL;DR: It is demonstrated that, compared with GDE3, RM-MEDA is not sensitive to algorithmic parameters, and has good scalability to the number of decision variables in the case of nonlinear variable linkages.
Journal ArticleDOI

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition

TL;DR: A comprehensive survey of the decomposition-based MOEAs proposed in the last decade is presented, including development of novel weight vector generation methods, use of new decomposition approaches, efficient allocation of computational resources, modifications in the reproduction operation, mating selection and replacement mechanism, hybridizing decompositions- and dominance-based approaches, etc.
Journal ArticleDOI

An Enhanced MSIQDE Algorithm With Novel Multiple Strategies for Global Optimization Problems

TL;DR: The results demonstrate that the EMMSIQDE is significantly better than the DE, QDE, QGA, and MSIQDE, and has better optimization ability, scalability, efficiency, and stability.