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...
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...
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...
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...
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...