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EPS
1995
Springer
14 years 14 hour ago
A Survey of Constraint Handling Techniques in Evolutionary Computation Methods
One of the major components of any evolutionary system is the evaluation function. Evaluation functions are used to assign a quality measure for individuals in a population. Where...
Zbigniew Michalewicz
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 1 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
HAIS
2009
Springer
14 years 1 months ago
Evolutionary Non-linear Great Deluge for University Course Timetabling
This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm i...
Dario Landa Silva, Joe Henry Obit
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 8 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
CEC
2009
IEEE
14 years 1 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera