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» On Set-Based Multiobjective Optimization
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SAGA
2005
Springer
15 years 5 months ago
Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization
Two general-purpose metaheuristic algorithms for solving multiobjective stochastic combinatorial optimization problems are introduced: SP-ACO (based on the Ant Colony Optimization ...
Walter J. Gutjahr
PPSN
2004
Springer
15 years 5 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
81
Voted
EOR
2006
118views more  EOR 2006»
14 years 11 months ago
Multi-objective tabu search using a multinomial probability mass function
A tabu search approach to solve multi-objective combinatorial optimization problems is developed in this paper. This procedure selects an objective to become active for a given it...
Sadan Kulturel-Konak, Alice E. Smith, Bryan A. Nor...
96
Voted
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
15 years 5 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 3 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati