2011Unpublished venueRequires access

Based on improved genetic algorithm optimization of multi-project network resources

Wu Yuan

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Abstract

This paper analyzes the integrated multi-project resource optimization network plan,Abstract mathematical models and an improved genetic algorithm to solve them,and finally obtained by verified improved genetic algorithm to solve the problem better than the traditional genetic Algorithm,the improved algorithm in a short period of time to find an optimal solution,with rapid convergence characteristics of optimization,the efficiency in solving the quality of reconciliation have reached a relatively good results.

About this research paper

What this paper is about

This paper analyzes the integrated multi-project resource optimization network plan,Abstract mathematical models and an improved genetic algorithm to solve them,and finally obtained by verified improved genetic algorithm to solve the problem better than the traditional genetic Algorithm,the improved algorithm in a short period of time to find an optimal solution,with rapid convergence characteristics of optimization,the efficiency in solving the quality of reconciliation have reached a relatively good results.

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Available abstract

This paper analyzes the integrated multi-project resource optimization network plan,Abstract mathematical models and an improved genetic algorithm to solve them,and finally obtained by verified improved genetic algorithm to solve the problem better than the traditional genetic Algorithm,the improved algorithm in a short period of time to find an optimal solution,with rapid convergence characteristics of optimization,the efficiency in solving the quality of reconciliation have reached a relatively good results.

Key concepts: Genetic algorithm, Computer science, Convergence (economics), Mathematical optimization, Meta-optimization, Population-based incremental learning, Algorithm, Resource (disambiguation)

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