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COMPSAC
2004
IEEE
13 years 11 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
CONCUR
2006
Springer
13 years 11 months ago
Minimization, Learning, and Conformance Testing of Boolean Programs
Boolean programs with recursion are convenient abstractions of sequential imperative programs, and can be represented as recursive state machines (RSMs) or pushdown automata. Motiv...
Viraj Kumar, P. Madhusudan, Mahesh Viswanathan
CSCLP
2006
Springer
13 years 11 months ago
An Attempt to Dynamically Break Symmetries in the Social Golfers Problem
A number of different satisfaction and optimisation combinatorial problems have recently been approached with constraint programming over the domain of finite sets, for increased d...
Francisco Azevedo
EMO
2006
Springer
219views Optimization» more  EMO 2006»
13 years 11 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong