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CEC
2005
IEEE
16 years 4 days ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
EVOW
2004
Springer
15 years 12 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
IBERAMIA
2004
Springer
15 years 12 months ago
A Multi-robot Strategy for Rapidly Searching a Polygonal Environment
In this paper we address the problem of finding an object in a polygonal environment as quickly as possible on average, with a team of mobile robots that can sense the environment...
Alejandro Sarmiento, Rafael Murrieta-Cid, Seth Hut...
HAIS
2009
Springer
15 years 11 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
SIGMETRICS
1999
ACM
15 years 10 months ago
Optimal Stochastic Scheduling in Multiclass Parallel Queues
In this paperweconsidertheproblemof schedulingdifferentclasses of customerson multiple distributed serversto minimize an objective function basedon per-classmeanresponsetimes.This...
Jay Sethuraman, Mark S. Squillante