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Premature convergence
In genetic algorithms, the term of premature convergence means that a population for an optimization problem converged too early, resulting in being…
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Related topics
Related topics
9 relations
CMA-ES
Convergence (evolutionary computing)
Crossover (genetic algorithm)
Evolutionary computation
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A genetic-based backpropagation neural network for forecasting in time-series data
Haviluddin
,
R. Alfred
International Conference on Science in…
2015
Corpus ID: 14202822
In this paper, a comparison of two network traffic activities prediction models will be presented, namely a backpropagation…
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Highly Cited
2013
Highly Cited
2013
A Novel Self Adaptive Modification Approach Based on Bat Algorithm for Optimal Management of Renewable MG
Aliasghar Baziar
,
Abdollah Kavoosi-Fard
,
Jafar Zare
2013
Corpus ID: 1747177
In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable…
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2013
2013
Applying artificial neural network and extended classifier system for network intrusion detection
W. Alsharafat
˜The œinternational Arab journal of information…
2013
Corpus ID: 9587367
Due to increasing incidents of cyber attacks, building effective Intrusion Detection Systems (IDS) are essential for protecting…
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2011
2011
An improved particle swarm optimizer for parametric optimization of flexible satellite controller
Di Hu
,
Ali Sarosh
,
Yunfeng Dong
Applied Mathematics and Computation
2011
Corpus ID: 38439691
Highly Cited
2008
Highly Cited
2008
Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system
E. Araujo
,
L. Coelho
Applied Soft Computing
2008
Corpus ID: 15179593
Highly Cited
2007
Highly Cited
2007
Adaptive mufti-objective particle swarm optimization algorithm
P. Tripathi
,
S. Bandyopadhyay
,
S. Pal
IEEE Congress on Evolutionary Computation
2007
Corpus ID: 16353700
In this article we describe a novel Particle Swarm Optimization (PSO) approach to Multi-objective Optimization (MOO) called…
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2007
2007
An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem
V. Cutello
,
Giuseppe Nicosia
,
M. Pavone
Journal of combinatorial optimization
2007
Corpus ID: 3024578
We present a new Immune Algorithm, IMMALG, that incorporates a Stochastic Aging operator and a simple local search procedure to…
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Highly Cited
2006
Highly Cited
2006
Diversity-based Information Exchange among Multiple Swarms in Particle Swarm Optimization
G. Yen
,
Moayed Daneshyari
International Conference on Evolutionary…
2006
Corpus ID: 5269909
This paper proposes a method to exchange information among multiple swarms in particle swarm optimization. The provided algorithm…
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Highly Cited
1999
Highly Cited
1999
A new genetic-based tabu search algorithm for unit commitment problem
A.H. Mantawy
,
Youssef L. Abdel-Magid
,
Shokri Z. Selim
1999
Corpus ID: 122900575
Highly Cited
1998
Highly Cited
1998
Improved genetic operators for structural engineering optimization
J. Leite
,
B. Topping
1998
Corpus ID: 62727523
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