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» An Indirect Genetic Algorithm for Set Covering Problems
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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 9 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
EOR
2007
76views more  EOR 2007»
13 years 8 months ago
Multicriteria tour planning for mobile healthcare facilities in a developing country
A multiobjective combinatorial optimization (MOCO) formulation for the following location-routing problem in healthcare management is given: For a mobile healthcare facility, a cl...
Karl Doerner, Axel Focke, Walter J. Gutjahr
COR
2007
95views more  COR 2007»
13 years 8 months ago
Inventory routing with continuous moves
The typical inventory routing problem deals with the repeated distribution of a single product from a single facility with an unlimited supply to a set of customers that can all b...
Martin W. P. Savelsbergh, Jin-Hwa Song
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 25 days ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICCV
2001
IEEE
14 years 10 months ago
Stereoscopic Segmentation
We cast the problem of multiframe stereo reconstruction of a smooth shape as the global region segmentation of a collection of images of the scene. Dually, the problem of segmenti...
Anthony J. Yezzi, Stefano Soatto