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ISDA
2009
IEEE
14 years 2 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
HEURISTICS
2002
99views more  HEURISTICS 2002»
13 years 7 months ago
Parallelizing Tabu Search on a Cluster of Heterogeneous Workstations
In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strate...
Ahmad A. Al-Yamani, Sadiq M. Sait, Habib Youssef, ...
GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
14 years 28 days ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
13 years 8 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
AAAI
2007
13 years 9 months ago
Randomized Adaptive Spatial Decoupling for Large-Scale Vehicle Routing with Time Windows
In recent years, the size of combinatorial applications and the need to produce high-quality solutions quickly have increased steadily, providing significant challenges for optim...
Russell Bent, Pascal Van Hentenryck