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» On the Brittleness of Evolutionary Algorithms
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GECCO
2003
Springer
138views Optimization» more  GECCO 2003»
15 years 11 months ago
Emergence of Collective Behavior in Evolving Populations of Flying Agents
We demonstrate the emergence of collective behavior in two evolutionary computation systems, one an evolutionary extension of a classic (highly constrained) flocking algorithm and...
Lee Spector, Jon Klein, Chris Perry, Mark Feinstei...
PPSN
1998
Springer
15 years 10 months ago
Inver-over Operator for the TSP
Abstract. In this paper we investigate the usefulness of a new operator, inver-over, for an evolutionary algorithm for the TSP. Inver-over is based on simple inversion, however, kn...
Guo Tao, Zbigniew Michalewicz
BIOADIT
2004
Springer
15 years 11 months ago
Searching for a Practical Evidence of the No Free Lunch Theorems
Abstract. According to the No Free Lunch (NFL) theorems all blackbox algorithms perform equally well when compared over the entire set of optimization problems. An important proble...
Mihai Oltean
TEC
2010
132views more  TEC 2010»
15 years 1 months ago
A Hybrid Evolutionary Approach to the Nurse Rostering Problem
Nurse rostering is a difficult search problem with many constraints. In the literature, a number of approaches have been investigated including penalty function methods to tackle t...
Ruibin Bai, Edmund K. Burke, Graham Kendall, Jingp...
ICARIS
2005
Springer
15 years 11 months ago
A Generic Framework for Population-Based Algorithms, Implemented on Multiple FPGAs
Many bio-inspired algorithms (evolutionary algorithms, artificial immune systems, particle swarm optimisation, ant colony optimisation, …) are based on populations of agents. Ste...
John Newborough, Susan Stepney