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SOCO
2010
Springer
13 years 5 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
AI
2003
Springer
14 years 22 days ago
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Sets of DNA strands that satisfy combinatorial constraints play an important role in various approaches to biomolecular computation, nanostructure design, and molecular tagging. Th...
Dan C. Tulpan, Holger H. Hoos
HAIS
2009
Springer
14 years 3 days ago
Evolutionary Non-linear Great Deluge for University Course Timetabling
This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm i...
Dario Landa Silva, Joe Henry Obit
CEC
2007
IEEE
14 years 1 months ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 1 months ago
The enhanced evolutionary tabu search and its application to the quadratic assignment problem
We describe the Enhanced Evolutionary Tabu Search (EE-TS) local search technique. The EE-TS metaheuristic technique combines Reactive Tabu Search with evolutionary computing eleme...
John F. McLoughlin III, Walter Cedeño