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» A novel memetic algorithm for constrained optimization
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CEC
2010
IEEE
13 years 7 months ago
Elitist Artificial Bee Colony for constrained real-parameter optimization
Abstract-- A novel algorithm to solve constrained realparameter optimization problems, based on the Artificial Bee Colony algorithm is introduced in this paper. The operators used ...
Efrén Mezura-Montes, Ramiro Ernesto Velez-K...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 25 days ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...
CEC
2010
IEEE
13 years 7 months ago
Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization
This paper presents an adaptation of a novel algorithm based on the foraging behavior of honey bees to solve constrained numerical optimization problems. The modifications focus on...
Efrén Mezura-Montes, Mauricio Damian-Araoz,...
ASC
2011
13 years 1 months ago
Quality of Service constrained routing optimization using Evolutionary Computation
In this work, a novel optimization framework is proposed that allows the improvement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of ...
Miguel Rocha, Pedro Sousa, Paulo Cortez, Miguel Ri...
CDC
2010
IEEE
226views Control Systems» more  CDC 2010»
13 years 1 months ago
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization
In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens