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» Improving Local Search for Fuzzy Scheduling Problems
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EOR
2007
77views more  EOR 2007»
13 years 7 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff
JGO
2010
112views more  JGO 2010»
13 years 6 months ago
An information global minimization algorithm using the local improvement technique
In this paper, the global optimization problem with an objective function that is multiextremal that satisfies the Lipschitz condition over a hypercube is considered. An algorithm...
Daniela Lera, Yaroslav D. Sergeyev
HT
2011
ACM
12 years 11 months ago
Automatic mining of cognitive metadata using fuzzy inference
Personalized search and browsing is increasingly vital especially for enterprises to able to reach their customers. Key challenge in supporting personalization is the need for ric...
Melike Sah, Vincent Wade
ALMOB
2006
155views more  ALMOB 2006»
13 years 8 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
14 years 2 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles