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» A Multiobjective Frontier Search Algorithm
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GECCO
2003
Springer
14 years 22 days ago
Effective Use of Directional Information in Multi-objective Evolutionary Computation
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
Martin Brown, Robert E. Smith
PATAT
2004
Springer
141views Education» more  PATAT 2004»
14 years 27 days ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
LION
2007
Springer
198views Optimization» more  LION 2007»
14 years 1 months ago
Multiobjective Landscape Analysis and the Generalized Assignment Problem
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Deon Garrett, Dipankar Dasgupta
GECCO
2004
Springer
14 years 28 days ago
A Philosophical Essay on Life and Its Connections with Genetic Algorithms
This paper makes a number of connections between life and various facets of genetic and evolutionary algorithms research. Specifically, it addresses the topics of adaptation, mult...
Fernando G. Lobo
GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
14 years 1 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...