Improvement Analysis and Application of Real-Coded Genetic Algorithm for Solving Constrained Optimization Problems

Improvement Analysis and Application of Real-Coded Genetic Algorithm for Solving Constrained Optimization Problems

An improved real-coded genetic algorithm (IRCGA) is proposed to solve constrained optimization problems. First, a sorting grouping selection method is given with the advantage of easy realization and not needing to calculate the fitness value. Secondly, a heuristic normal distribution crossover (HND...

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Bibliographic Details
Main Authors: Jiquan Wang, Zhiwen Cheng, Okan K. Ersoy, Panli Zhang, Weiting Dai, Zhigui Dong
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/5760841

Internet

http://dx.doi.org/10.1155/2018/5760841

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