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» A New Approach to Improve Particle Swarm Optimization
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CEC
2009
IEEE
15 years 4 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
ICCS
2009
Springer
15 years 4 months ago
Experience with Approximations in the Trust-Region Parallel Direct Search Algorithm
Recent years have seen growth in the number of algorithms designed to solve challenging simulation-based nonlinear optimization problems. One such algorithm is the Trust-Region Par...
S. M. Shontz, V. E. Howle, P. D. Hough
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 2 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
ICUMT
2009
14 years 7 months ago
A COP for cooperation in a P2P streaming protocol
This paper introduces a Combinatory Optimization Problem (COP) which captures the performance in cooperation of a P2P Streaming Network, considered at the buffer level. A new famil...
María Elisa Bertinat, Darío Padula, ...