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Global/local united search algorithm for global optimization

Jinhui Zhai, Yingbai Yan, Guofan Jin, Minxian Wu

Open publisher page 5 citations

Abstract

A new global optimization method, which embeds the genetic search and simulated annealing concept into the hill-climbing methods, has been presented for the design of diffractive phase plates. The new algorithm combines the global exploration properties of Genetic/Annealing algorithms and the accurate exploitation power of the hill-climbing algorithms, resulting in quickly converging to the global optimum.

About this research paper

What this paper is about

A new global optimization method, which embeds the genetic search and simulated annealing concept into the hill-climbing methods, has been presented for the design of diffractive phase plates. The new algorithm combines the global exploration properties of Genetic/Annealing algorithms and the accurate exploitation power of the hill-climbing algorithms, resulting in quickly converging to the global optimum.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new global optimization method, which embeds the genetic search and simulated annealing concept into the hill-climbing methods, has been presented for the design of diffractive phase plates. The new algorithm combines the global exploration properties of Genetic/Annealing algorithms and the accurate exploitation power of the hill-climbing algorithms, resulting in quickly converging to the global optimum.

Key concepts: Hill climbing, Simulated annealing, Global optimization, Computer science, Genetic algorithm, Algorithm, Mathematical optimization, Local search (optimization)

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