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» Particle Swarm Optimization Using Adaptive Mutation
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EVOW
2007
Springer
14 years 5 months ago
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Shengxiang Yang
SAB
2004
Springer
289views Optimization» more  SAB 2004»
14 years 4 months ago
An Overview of Physicomimetics
This paper provides an overview of our framework, called physicomimetics, for the distributed control of swarms of robots. We focus on robotic behaviors that are similar to those s...
William M. Spears, Diana F. Spears, Rodney Heil, W...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 12 months ago
A fuzzy-genetic approach to network intrusion detection
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...
Terrence P. Fries
PPSN
2010
Springer
13 years 9 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 5 months ago
Reducing the space-time complexity of the CMA-ES
A limited memory version of the covariance matrix adaptation evolution strategy (CMA-ES) is presented. This algorithm, L-CMA-ES, improves the space and time complexity of the CMA-...
James N. Knight, Monte Lunacek