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131
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EC
2000
96views ECommerce» more  EC 2000»
15 years 2 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
HM
2010
Springer
157views Optimization» more  HM 2010»
15 years 3 months ago
Hybrid Heuristics for Dynamic Resource-Constrained Project Scheduling Problem
Dynamic Resource-Constrained Project Scheduling Problem (DRCPSP) is a scheduling problem that works with an uncommon kind of resources: the Dynamic Resources. They increase and dec...
André Renato Villela da Silva, Luiz Satoru ...
155
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EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
15 years 8 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
GECCO
2003
Springer
189views Optimization» more  GECCO 2003»
15 years 7 months ago
A Forest Representation for Evolutionary Algorithms Applied to Network Design
Abstract. Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some example...
Alexandre C. B. Delbem, André Carlos Ponce ...
97
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CEC
2007
IEEE
15 years 9 months ago
The application of evolutionary multi-criteria optimization to dynamic molecular alignment
— This study introduces the multi-criteria approach to the optimization of dynamic molecular alignment by shaped femtosecond laser pulses, which has been considered so far only a...
Ofer M. Shir, Michael Emmerich, Thomas Bäck, ...