The effects of using chaotic map on improving the performance of multiobjective evolutionary algorithms

DOI10.1155/2014/924652zbMath1407.90295OpenAlexW2008742843WikidataQ59070808 ScholiaQ59070808MaRDI QIDQ1719400

Meikang Qiu, Zongming Fei, Hui Lu, Xiaoteng Wang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/924652

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Dynamical systems in control (37N35) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (1)

A Hybrid Approach for Task Scheduling Based Particle Swarm and Chaotic Strategies in Cloud Computing Environment

Uses Software

• MOEA/D
• SPEA2

Cites Work

• Unnamed Item
• Imperialist competitive algorithm combined with chaos for global optimization
• Chaos embedded particle swarm optimization algorithms
• Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms
• Chaotic harmony search algorithms
• Kneading plane of the circle map
• A practical method for calculating largest Lyapunov exponents from small data sets
• Global optimization by an improved differential evolutionary algorithm
• Chaos in the cubic mapping
• Chaotic characteristics of a one-dimensional iterative map with infinite collapses
• Symmetric Ciphers Based on Two-Dimensional Chaotic Maps

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