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» Evolutionary multiobjective optimization
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SAC
2008
ACM
15 years 1 months ago
Using the RRT algorithm to optimize classification systems for handwritten digits and letters
Multi-objective genetic algorithms have been often used to optimize classification systems, but little is discussed on their computational cost to solve such problems. This paper ...
Paulo Vinicius Wolski Radtke, Robert Sabourin, Ton...
119
Voted
JOTA
2010
127views more  JOTA 2010»
14 years 8 months ago
Optimization Over the Efficient Set of Multi-objective Convex Optimal Control Problems
We consider multi-objective convex optimal control problems. First we state a relationship between the (weakly or properly) efficient set of the multi-objective problem and the sol...
Henri Bonnel, C. Yalçin Kaya
101
Voted
CEC
2008
IEEE
15 years 8 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...
APIN
2006
207views more  APIN 2006»
15 years 1 months ago
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows
The Vehicle Routing Problem with Time windows (VRPTW) is an extension of the capacity constrained Vehicle Routing Problem (VRP). The VRPTW is NP-Complete and instances with 100 cus...
Beatrice M. Ombuki, Brian Ross, Franklin Hanshar

Publication
319views
13 years 11 months ago
 Viability Evolution: Elimination and Extinction in Evolutionary Computation
Current mainstream Evolutionary Algorithms (EA) are based on the concept of selection, encapsulated in the definition of a fitness function. Besides selection, however, the natur...
Claudio Mattiussi