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GECCO
2000
Springer
225views Optimization» more  GECCO 2000»
13 years 11 months ago
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm
A genetic local search (GLS) algorithm, which is a combination technique of genetic algorithm and local search, for the unconstrained binary quadratic programming problem (BQP) is...
Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa
ISCIS
2005
Springer
14 years 29 days ago
An Investigation of the Course-Section Assignment Problem
Abstract. We investigate the problem of enumerating schedules, consisting of course-section assignments, in increasing order of the number of conflicts they contain. We define th...
Zeki Bayram
HPCC
2005
Springer
14 years 29 days ago
Parallel Branch and Bound Algorithms on Internet Connected Workstations
By the use of the GRIBB software for distributed computing across the Internet, we are investigating the obstacles and the potential for efficient parallelization of Branch and Bou...
Randi Moe, Tor Sørevik
CEC
2010
IEEE
13 years 4 months ago
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems
Extremal optimisation (EO) is a relatively recent nature-inspired heuristic whose search method is especially suitable to solve combinatorial optimisation problems. To date, most o...
Pedro Gómez-Meneses, Marcus Randall, Andrew...
ANOR
2011
117views more  ANOR 2011»
12 years 11 months ago
A simple and effective algorithm for the MaxMin diversity problem
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
Daniel Cosmin Porumbel, Jin-Kao Hao, Fred Glover