2000•Journal of the China Railway SocietyRequires access

Study on GATS hybrid algorithms and its convergence

Sun Yan

Abstract

Through deeper contrast and comparison between genetic algorithm and tabu Search, a hybrid optimization algorithm based on a hybrid strategy is suggested. In this algorithm, tabu Search procedure is applied to each individual generated by genetic algorithm in order to improve the results. Finally, we demonstrate the global convergence of this hybrid algorithm by applying the theory of Markov chain.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Tabu search, Convergence (economics), Hybrid algorithm (constraint satisfaction), Mathematical optimization, Algorithm, Genetic algorithm, Computer science, Markov chain