A Simulative Bionic Intelligent Optimization Algorithm: Artificial Searching Swarm Algorithm and Its Performance Analysis

Authors:
Tanggong Chen
Affiliations:
-
Venue:
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 02
Year:
2009

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On the farther analysis of performance of the artificial searching swarm algorithm

ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I

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Abstract

In this paper, a novel optimization algorithm - Artificial Searching Swarm Algorithm (ASSA) is presented by analyzing the operating principle and uniform framework of the Bionic Intelligent Optimization Algorithm. ASSA simulates the process of solving optimal design problem to the process of searching optimal goal by searching swarm with the set rules, and finds the optimal solution through the search and cooperation of the searching individual. The algorithm has easy programmable character, and has strong global searching ability. The simulative tests prove the validity of the proposed algorithm.