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AE
1999
Springer
15 years 10 months ago
Characterizing Locality in Decoder-Based EAs for the Multidimensional Knapsack Problem
The performance of decoder-based evolutionary algorithms (EAs) strongly depends on the locality of the used decoder and operators. While many approaches to characterize locality ar...
Jens Gottlieb, Günther R. Raidl
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 7 months ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello
PPSN
2010
Springer
15 years 4 months ago
Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows
The Vehicle Routing Problem with Time Windows involves finding the lowest-cost set of routes to deliver goods to customers, which have service time windows, using a homogeneous ...
Abel Garcia-Najera, John A. Bullinaria
AIR
2002
165views more  AIR 2002»
15 years 6 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

Publication
319views
14 years 4 months ago
 Viability Evolution: Elimination and Extinction in Evolutionary Computation
Current mainstream Evolutionary Algorithms (EA) are based on the concept of selection, encapsulated in the definition of a fitness function. Besides selection, however, the natur...
Claudio Mattiussi