Improved Self-Adaptive Glowworm Swarm Optimization Algorithm

Abstract:

The sparse sets of linear equations are produced in electrical surveying, how to raise the efficiency of the solution of equations is the key to Object-probed. Glowworm swarm optimization algorithm (GSO) algorithm put forward to solve linear equations.To overcome slow convergence and lower accuracy solution, independent movement and self-adaptive step was proposed to improve the GSO (IGSO). The experimental results prove that, IGSO has a better performance than GSO.

• Periodical: Applied Mechanics and Materials (Volumes 519-520)
• Pages: 798-801
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.519-520.798
• Online since: February 2014
• Authors: Rong Zheng Chen*
• Keywords: Electrical Surveying, Glowworm Swarm Optimization (GSO), Improved Self-Adaptive Step, Multi-Modal Function Optimization

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