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GECCO
2000
Springer
158views Optimization» more  GECCO 2000»
13 years 12 months ago
Grammar based function definition in Grammatical Evolution
We describe the use of grammars as an approach to automatic function definition in Grammatical Evolution. The automatic generation of functions allows the evolution of both the fu...
Michael O'Neill, Conor Ryan
HM
2010
Springer
157views Optimization» more  HM 2010»
13 years 9 months ago
Hybrid Heuristics for Dynamic Resource-Constrained Project Scheduling Problem
Dynamic Resource-Constrained Project Scheduling Problem (DRCPSP) is a scheduling problem that works with an uncommon kind of resources: the Dynamic Resources. They increase and dec...
André Renato Villela da Silva, Luiz Satoru ...
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 9 months ago
Theoretical analysis of diversity mechanisms for global exploration
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
Tobias Friedrich, Pietro Simone Oliveto, Dirk Sudh...
JUCS
2008
139views more  JUCS 2008»
13 years 8 months ago
Parallel Strategies for Stochastic Evolution
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...
Sadiq M. Sait, Khawar S. Khan, Mustafa Imran Ali
EC
2007
167views ECommerce» more  EC 2007»
13 years 8 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud