MATLAB Implementation of Enhanced Genetic Algorithm with Natural Number Encoding

Resource Overview

This program implements an improved genetic algorithm utilizing a novel natural number encoding scheme, which significantly reduces chromosome length and enhances computational efficiency. The algorithm replaces traditional binary encoding with natural number representation for more intuitive gene expression.

Detailed Documentation

This program is based on an enhanced genetic algorithm that employs a novel natural number encoding approach. By significantly reducing chromosome length, this implementation improves computational efficiency substantially. Unlike traditional binary encoding methods, this approach represents genes as natural numbers, making genetic expression more intuitive and easier to comprehend. Key implementation features include: - Natural number encoding that eliminates binary conversion overhead - Reduced chromosome length through direct numerical representation - Enhanced crossover and mutation operations optimized for numerical encoding - Fitness evaluation functions designed for natural number chromosomes Through these improvements, the algorithm achieves faster convergence to optimal solutions while maintaining high accuracy. The natural number encoding simplifies genetic operations and reduces computational complexity, making it particularly suitable for optimization problems with continuous or large solution spaces.