Genetical Swarm Optimization: Self-Adaptive Hybrid Evolutionary Algorithm for Electromagnetics

2007 ◽  
Vol 55 (3) ◽  
pp. 781-785 ◽  
Author(s):  
Francesco Grimaccia ◽  
Marco Mussetta ◽  
Riccardo E. Zich
Keyword(s):  
Evolutionary Algorithm ◽  
Swarm Optimization ◽  
Hybrid Evolutionary Algorithm ◽  
Self Adaptive

scholarly journals Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ming-Yi Ju ◽  
Siao-En Wang ◽  
Jian-Horn Guo
Keyword(s):  
Path Planning ◽  
Evolutionary Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Tree Structure ◽  
Mobile Robot Navigation ◽  
Swarm Optimization ◽  
Hybrid Evolutionary Algorithm ◽  
Dummy Node ◽  
Encoding Method ◽  
Binary Tree Structure

A hybrid evolutionary algorithm using scalable encoding method for path planning is proposed in this paper. The scalable representation is based on binary tree structure encoding. To solve the problem of hybrid genetic algorithm and particle swarm optimization, the “dummy node” is added into the binary trees to deal with the different lengths of representations. The experimental results show that the proposed hybrid method demonstrates using fewer turning points than traditional evolutionary algorithms to generate shorter collision-free paths for mobile robot navigation.

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