scholarly journals Investigation on Evolutionary Synthesis of Movement Commands

2009 ◽  
Vol 2009 ◽  
pp. 1-12 ◽  
Author(s):  
Zuzana Oplatková ◽  
Ivan Zelinka
Keyword(s):  
Simulated Annealing ◽  
Evolutionary Algorithms ◽  
Genetic Programming ◽  
Differential Evolution ◽  
Optimal Trajectory ◽  
Grammatical Evolution ◽  
Evolutionary Synthesis ◽  
Santa Fe ◽  
Santa Fe Trail ◽  
Analytic Programming

This paper deals with usage of an alternative tool for symbolic regression—analytic programming which is able to solve various problems from the symbolic domain, as well as genetic programming and grammatical evolution. This paper describes a setting of an optimal trajectory for a robot (originally designed as an artificial ant on Santa Fe trail) solved by means of analytic programming. Firstly, main principles of analytic programming are described and explained. The second part shows how analytic programming was used for the application of finding a suitable trajectory step by step. Because analytic programming needs evolutionary algorithms for its run, three evolutionary algorithms were used—self-organizing migrating algorithm, differential evolution, and simulated annealing—to show that anyone can be used. The total number of simulations was 150 and results show that the first two used algorithms were more successful than not so robust simulated annealing.

CHAOS SYNTHESIS BY MEANS OF EVOLUTIONARY ALGORITHMS

2008 ◽  
Vol 18 (04) ◽  
pp. 911-942 ◽  
Author(s):  
IVAN ZELINKA ◽  
GUANRONG CHEN ◽  
SERGEJ CELIKOVSKY
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithms ◽  
Genetic Programming ◽  
Differential Evolution ◽  
Cost Function ◽  
Case Studies ◽  
Chaotic System ◽  
Chaotic Systems ◽  
Reliability And Robustness ◽  
Eleven Case

This paper introduces the notion of chaos synthesis by means of evolutionary algorithms and develops a new method for chaotic systems synthesis. This method is similar to genetic programming and grammatical evolution and is being applied along with three evolutionary algorithms: differential evolution, self-organizing migration and genetic algorithm. The aim of this investigation is to synthesize new and "simple" chaotic systems based on some elements contained in a prechosen existing chaotic system and a properly defined cost function. The investigation consists of eleven case studies: the aforementioned three evolutionary algorithms in eleven versions. For all algorithms, 100 simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results were carefully selected, visualized and commented in this report.

First Mail West: Stagecoach Lines on the Santa Fe Trail

1971 ◽  
Vol 2 (4) ◽  
pp. 417
Author(s):  
LeRoy R. Hafen ◽  
Morris F. Taylor
Keyword(s):  
Santa Fe ◽  
Santa Fe Trail
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