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» Hybrid Optimizations: Which Optimization Algorithm to Use
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122
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CEC
2009
IEEE
15 years 9 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...
122
Voted
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 9 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
105
Voted
DATE
2006
IEEE
116views Hardware» more  DATE 2006»
15 years 8 months ago
Systematic and optimal design of CMOS two-stage opamps with hybrid cascode compensation
This paper presents a systematic and optimal design of hybrid cascode compensation method which is used in fully differential two-stage CMOS operational transconductance amplifier...
Mohammad Yavari, Omid Shoaei, Ángel Rodr&ia...
147
Voted
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 6 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed
In this contribution, a hybrid algorithm combining Differential Evolution and IPOP-CMA-ES is presented and benchmarked on the BBOB 2010 noiseless testbed. The hybrid algorithm ha...
Antonio LaTorre, Santiago Muelas, José Mar&...
126
Voted
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
15 years 6 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
In this paper, a hybrid algorithm based on the Multiple Offspring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combinat...
Antonio LaTorre, Santiago Muelas, José Mar&...