Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming (original) (raw)
2003, Lecture Notes in Computer Science
AI-generated Abstract
This paper investigates the complexity of unimodal and multimodal landscapes in the context of genetic programming. It analyzes how different landscape types affect the performance and convergence rates of genetic algorithms. The study aims to provide insights into the challenges posed by varying landscape properties and suggests strategies for effectively navigating these landscapes during evolutionary computations.
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