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AMC
2004
115views more  AMC 2004»
13 years 7 months ago
Performance comparison of memetic algorithms
Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve...
Jason G. Digalakis, Konstantinos G. Margaritis
JSW
2006
76views more  JSW 2006»
13 years 7 months ago
Variable Neighbourhood Search for Job Shop Scheduling Problems
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solving in which a systematic change of neighbourhood within a local search is carried...
Mehmet Sevkli, Mehmet Emin Aydin
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 7 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
TSMC
2011
324views more  TSMC 2011»
13 years 2 months ago
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling
—The university course timetabling problem (UCTP) is a combinatorial optimization problem, in which a set of events has to be scheduled into time slots and located into suitable ...
Shengxiang Yang, Sadaf Naseem Jat
GECCO
2003
Springer
14 years 25 days ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein