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» On Using Populations of Sets in Multiobjective Optimization
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78
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CEC
2008
IEEE
15 years 4 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
ESORICS
2008
Springer
14 years 11 months ago
Security Provisioning in Pervasive Environments Using Multi-objective Optimization
Pervasive computing applications involve information flow across multiple organizations. Thus, any security breach in an application can have far-reaching consequences. However, ef...
Rinku Dewri, Indrakshi Ray, Indrajit Ray, Darrell ...
TEC
2008
118views more  TEC 2008»
14 years 9 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
76
Voted
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 1 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 1 months ago
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm
Given the prominence of elite archiving in contemporary multiobjective optimisation research and the limitations inherent in bounded population sizes, it is unusual that the vast ...
Adam Berry, Peter Vamplew