2003Unpublished venueRequires access

Multimethod Collaborative Optimization for Function Optimization Problem

Wen Luo

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Abstract

To solve the problem of complex function optimization,we use a lot of methods to process multimethod collaborative optimization.Multimethod collaborative optimization can take use of the collaborative effect between different kinds of optimization methods and improve the optimization performance.Collaborating genetic algorithm and pattern search method with Powell's method,we get a new algorithm named as multimethod collaborative optimization algorithm.Some typical global optimization functions are used to test the performance of multimethod collaborative optimization algorithm.Examples show that multimethod collaborative optimization superiors to simple optimization.

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What this paper is about

To solve the problem of complex function optimization,we use a lot of methods to process multimethod collaborative optimization.Multimethod collaborative optimization can take use of the collaborative effect between different kinds of optimization methods and improve the optimization performance.Collaborating genetic algorithm and pattern search method with Powell's method,we get a new algorithm named as multimethod collaborative optimization algorithm.Some typical global optimization functions are used to test the performance of multimethod collaborative optimization algorithm.Examples show that multimethod collaborative optimization superiors to simple optimization.

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Available abstract

To solve the problem of complex function optimization,we use a lot of methods to process multimethod collaborative optimization.Multimethod collaborative optimization can take use of the collaborative effect between different kinds of optimization methods and improve the optimization performance.Collaborating genetic algorithm and pattern search method with Powell's method,we get a new algorithm named as multimethod collaborative optimization algorithm.Some typical global optimization functions are used to test the performance of multimethod collaborative optimization algorithm.Examples show that multimethod collaborative optimization superiors to simple optimization.

Key concepts: Test functions for optimization, Meta-optimization, Continuous optimization, Engineering optimization, Global optimization, Optimization problem, Computer science, Derivative-free optimization

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