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» Particle Swarm Optimization Using Adaptive Mutation
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GECCO
2007
Springer
236views Optimization» more  GECCO 2007»
15 years 3 months ago
A discrete differential evolution algorithm for the permutation flowshop scheduling problem
In this paper, a novel discrete differential evolution (DDE) algorithm is presented to solve the permutation flowhop scheduling problem with the makespan criterion. The DDE algori...
Quan-Qe Pan, Mehmet Fatih Tasgetiren, Yun-Chia Lia...
GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
15 years 2 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit
ICASSP
2008
IEEE
15 years 4 months ago
3D facial expression recognition using swarm intelligence
In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respec...
Iordanis Mpiperis, Sotiris Malassiotis, Vassilios ...
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Power-Aware Particle Filtering for Video Tracking
This paper presents a novel approach to particle filtering which minimizes the total tracking distortion by considering dynamic variance of proposal density and adaptive number o...
Pan Pan, Dan Schonfeld
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa