Affiliation:
1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
2. Center for Supernetworks Research (China), Shanghai 200093, China
Abstract
For premature convergence and instability of cultural algorithm in solving function optimization problem, based on cultural algorithm and chaos search optimization, a chaos cultural algorithm (CCA) is proposed. The algorithm model consists of a chaos-based population space and a knowledge-storing belief space, uses normative knowledge and situational knowledge for chaos search and chaos perturbation, respectively, effectively avoids premature convergence of cultural algorithm, and overcomes chaos search optimization's sensitivity to initial values and poor efficiency. Test results show that this algorithm is strong in global search and has good performance in searching efficiency, precision, and stability, especially in solving high-dimensional optimization problem.
Funder
National Natural Science Foundation of China
Subject
Computer Science Applications,General Engineering,Modeling and Simulation
Cited by
5 articles.
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1. Extended Cultural Algorithms;Engineering Optimization: Methods and Applications;2022
2. Applications of Cultural Algorithms in Different Branches of Science;Engineering Optimization: Methods and Applications;2022
3. Cultural Algorithms (CAs);Engineering Optimization: Methods and Applications;2022
4. A comprehensive survey on cultural algorithms;Swarm and Evolutionary Computation;2021-04
5. A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization;Information Sciences;2014-05