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This paper presents an improved particle swarm optimization algorithm with feasibility- based rules (FRIPSO) to solve mixed-variable constrained optimization problems. Different kinds of variables are dealt in different ways in FRIPSO algorithm. Constraint handling is based on simple feasibility-based rules without the use of a penalty function which is frequently cumbersome to parameterize, nor need...
In view of the slowness and the locality of convergence for basic genetic algorithm (BGA for short) in solving complex optimization problems, we proposed an improved genetic algorithm named self-adpative and multi-population composite genetic algorithm (SM-CGA for short), and gave the structure and implementation steps of the algorithm; then we consider its global convergence under the elitist preserving...
In this paper, based on the structure of fuzzy information and the mechanism of fuzzy optimization, we propose the concept of quasi-linear fuzzy number; by distinguishing principal index and secondary indices, we give the comparison method based on synthesizing effect combining with the compound qualification strategy of fuzzy information; starting from the essence of constraints, we give a fuzzy...
As a kind of intelligence computation method, evolutionary computation is widely applied and ceaselessly developed. Generally, it is made up of genetic algorithm, evolutionary strategies and evolutionary programming. And genetic algorithm is one of the most common ones, it has the features of easy structure and strong adaptability, achieves great success in many real fields, but it has much shortcomings...
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