ScholarLens Back to search
2005•Journal of Hunan Institute of EngineeringRequires access

A Mixed Genetic Algorithm Based on Simulated Annealing

Peng Dong-hai

Open publisher page 0 citations

Abstract

GA(genetic algorithm) is a kind of optimization algorithms.It simulats the theory of nature biology individual evolution,and is widely utilized recently.But SA(Simulated Annealing) is another kind of optimization algorithms.It simulats the theory of Solid Annealing.In this paper,the advantages and the disadvantages of the two kinds of algorithms are analyzed.To avoid their disadvantages a Mixed Genetic Algorithm Based on Simulated Annealing is proposed.The theoretic analysis and the simulation results suggest that the scheme is feasible and effective.

About this research paper

What this paper is about

GA(genetic algorithm) is a kind of optimization algorithms.It simulats the theory of nature biology individual evolution,and is widely utilized recently.But SA(Simulated Annealing) is another kind of optimization algorithms.It simulats the theory of Solid Annealing.In this paper,the advantages and the disadvantages of the two kinds of algorithms are analyzed.To avoid their disadvantages a Mixed Genetic Algorithm Based on Simulated Annealing is proposed.The theoretic analysis and the simulation results suggest that the scheme is feasible and effective.

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

GA(genetic algorithm) is a kind of optimization algorithms.It simulats the theory of nature biology individual evolution,and is widely utilized recently.But SA(Simulated Annealing) is another kind of optimization algorithms.It simulats the theory of Solid Annealing.In this paper,the advantages and the disadvantages of the two kinds of algorithms are analyzed.To avoid their disadvantages a Mixed Genetic Algorithm Based on Simulated Annealing is proposed.The theoretic analysis and the simulation results suggest that the scheme is feasible and effective.

Key concepts: Simulated annealing, Adaptive simulated annealing, Genetic algorithm, Computer science, Algorithm, Mathematical optimization, Annealing (glass), Mathematics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
A Mixed Genetic Algorithm Based on Simulated Annealing — Research Paper | ScholarLens