Novel Encoding Scheme in Genetic Algorithms for Better Fitness
Novel Encoding Scheme in Genetic Algorithms for Better Fitness
复制标题
遗传算法中的新颖编码方案可实现更好的适应度
DOI：
--
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Rakesh Kumar
中科院分区：
文献类型：
--
作者：
Rakesh Kumar
遗传算法是一种优化算法。每一种搜索和优化算法都需要表示特定问题的解决方案。主要问题是用染色体的形式来表示问题的参数。选择合适的染色体编码方法是一项至关重要的任务，在很大程度上影响优化问题的求解。本文研究了不同的编码技术及其相关的遗传操作，提出了一种新的编码方案，以克服现有编码技术的局限性。
Genetic algorithms are optimisation algorithms. Every search and optimisation algorithm needs a representation which represents a solution to a specific problem. The major issue is to represent the parameter of the problem in the form of the chromosome. Choosing the right method of encoding chromosome is a crucial task and largely effects solving of optimization problem. This paper studies different encoding techniques and their associated genetic operations and then proposes a new encoding scheme to overcome the limitations of existing encoding techniques.