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» Hybrid Optimizations: Which Optimization Algorithm to Use
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CEC
2009
IEEE
15 years 11 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...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 11 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
DATE
2006
IEEE
116views Hardware» more  DATE 2006»
15 years 11 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...
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 8 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&...
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
15 years 8 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&...