遗传算法 Resources

Showing items tagged with "遗传算法"

MATLAB source code for fuzzy C-means clustering enhanced by genetic algorithm. The standard fuzzy C-means (FCM) algorithm often converges to local minima, which is addressed by integrating genetic algorithm optimization. The implementation first uses genetic algorithm to determine optimal initial cluster centers, then applies the standard FCM algorithm to achieve superior classification results, featuring population initialization, fitness evaluation, and crossover/mutation operations.

MATLAB 188 views Tagged
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To effectively apply genetic algorithms for robust control system design problems, we combine genetic algorithms with local optimization methods, proposing a Dimension-Reduced Sweeping Adaptive Multi-Objective Genetic Algorithm (DRSA-MOGA). The algorithm implementation incorporates fitness function normalization techniques, dimension-reduced scanning based on optimal Pareto solution set search, and adaptive fitness function adjustment methods. These enhancements significantly improve global optimization performance and local search capability. Simulation results demonstrate that DRSA-MOGA achieves high approximation accuracy without compromising solution uniformity, where the fitness evaluation function systematically handles multiple optimization objectives through weighted aggregation.

MATLAB 248 views Tagged
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Contains comprehensive genetic algorithm implementations with detailed code examples, featuring optimization techniques, selection methods, and fitness evaluation functions to facilitate understanding of evolutionary computation principles.

MATLAB 183 views Tagged
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