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A Hybrid GOA-GA Optimization Algorithm

Y Wang

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Abstract

The paper combined Gridding Optimization Algorithm(GOA) and Genetic Algorithm(GA),a hybrid GOA-GA algorithm is proposed for function optimization,As a global determinate search algorithm,GOA can avoid Large number of blind searching,as well as avoid getting into local minima.GA can quickly get into a global minimum with random optimization technology based on a number of better minima as its strong local search ability.GOA-GA has some advantages as fast convergence 、high-precision and global optimization through experiment comparing to GOA and GA.

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What this paper is about

The paper combined Gridding Optimization Algorithm(GOA) and Genetic Algorithm(GA),a hybrid GOA-GA algorithm is proposed for function optimization,As a global determinate search algorithm,GOA can avoid Large number of blind searching,as well as avoid getting into local minima.GA can quickly get into a global minimum with random optimization technology based on a number of better minima as its strong local search ability.GOA-GA has some advantages as fast convergence 、high-precision and global optimization through experiment comparing to GOA and GA.

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Available abstract

The paper combined Gridding Optimization Algorithm(GOA) and Genetic Algorithm(GA),a hybrid GOA-GA algorithm is proposed for function optimization,As a global determinate search algorithm,GOA can avoid Large number of blind searching,as well as avoid getting into local minima.GA can quickly get into a global minimum with random optimization technology based on a number of better minima as its strong local search ability.GOA-GA has some advantages as fast convergence 、high-precision and global optimization through experiment comparing to GOA and GA.

Key concepts: Maxima and minima, Computer science, Global optimization, Genetic algorithm, Convergence (economics), Function optimization, Algorithm, Meta-optimization

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