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EC
2000
96views ECommerce» more  EC 2000»
13 years 10 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
GPEM
2007
119views more  GPEM 2007»
13 years 10 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
AIR
2004
130views more  AIR 2004»
13 years 10 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...
IADIS
2008
13 years 12 months ago
Information Retrieval with Cluster Genetic
This article presents an online cluster using genetic algorithms to increase information retrieval efficiency. The Information Retrieval (IR) is based on the grouping of documents...
José Luis Castillo Sequera, José Ra&...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 4 months ago
An extended mutation concept for the local selection based differential evolution algorithm
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
Jani Rönkkönen, Jouni Lampinen