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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
VLSID
1993
IEEE
136views VLSI» more  VLSID 1993»
13 years 11 months ago
A Simulation-Based Test Generation Scheme Using Genetic Algorithms
This paper discusses a Genetic Algorithm-based method of generating test vectorsfor detecting faults in combinational circuits. The GA-based approach combines the merits of two te...
M. Srinivas, Lalit M. Patnaik
ENGL
2008
118views more  ENGL 2008»
13 years 7 months ago
Hybrid Architecture of Genetic Algorithm and Simulated Annealing
This paper discusses novel dedicated hardware architecture for hybrid optimization based on Genetic algorithm (GA) and Simulated Annealing (SA). The proposed architecture achieves ...
Masaya Yoshikawa, Hironori Yamauchi, Hidekazu Tera...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 26 days ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
WSC
2008
13 years 10 months ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm