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EC
2000
96views ECommerce» more  EC 2000»
13 years 4 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
AIR
2002
165views more  AIR 2002»
13 years 4 months ago
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
TEC
2008
98views more  TEC 2008»
13 years 4 months ago
A Fast Incremental Hypervolume Algorithm
When hypervolume is used as part of the selection or archiving process in a multiobjective evolutionary algorithm, it is necessary to determine which solutions contribute the least...
Lucas Bradstreet, R. Lyndon While, Luigi Barone
COR
2011
12 years 11 months ago
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows
The Vehicle Routing Problem with Time Windows is a complex combinatorial problem with many real-world applications in transportation and distribution logistics. Its main objective...
Abel Garcia-Najera, John A. Bullinaria
EAAI
2006
189views more  EAAI 2006»
13 years 4 months ago
Evolutionary algorithms for VLSI multi-objective netlist partitioning
The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI ...
Sadiq M. Sait, Aiman H. El-Maleh, Raslan H. Al-Aba...