方法证据记录
Genetic Algorithm
A genetic algorithm (GA) is a population-based metaheuristic optimization method introduced by John Henry Holland (1975) that mimics the principles of natural selection. It maintains a population of candidate solutions and iteratively improves them through selection, crossover, and mutation operators, making it especially powerful on discontinuous, non-convex, and multi-modal search spaces where classical gradient-based methods fail.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Genetic Algorithm — Evolutionary Optimization
分类方法记录 · process-pipeline / optimization
- Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press. · URL
- Deb, K. (2001). Multi-Objective Optimization using Evolutionary Algorithms. Wiley. · ISBN 9780471873396
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