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SAC
1998
ACM
15 years 7 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
118
Voted
DT
2000
101views more  DT 2000»
15 years 3 months ago
Conflicting Criteria in Embedded System Design
The design of complex embedded systems involves the simultaneous optimization of several often competing objectives. Instead of a single optimal design, there is rather a set of a...
Michael Eisenring, Lothar Thiele, Eckart Zitzler
SOCO
2012
Springer
13 years 11 months ago
Variable mesh optimization for continuous optimization problems
Abstract Population-based meta-heuristics are algorithms that can obtain very good results for complex continuous optimization problems in a reduced amount of time. These search al...
Amilkar Puris, Rafael Bello, Daniel Molina, Franci...
185
Voted
TEC
2010
203views more  TEC 2010»
14 years 10 months ago
Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These nic...
Xiaodong Li
AAMAS
2010
Springer
15 years 3 months ago
Evolutionary mechanism design: a review
Abstract The advent of large-scale distributed systems poses unique engineering challenges. In open systems such as the internet it is not possible to prescribe the behaviour of al...
Steve Phelps, Peter McBurney, Simon Parsons