A comprehensive survey on genetic algorithms for DNA motif prediction

NK Lee, X Li, D Wang - Information Sciences, 2018 - Elsevier
Computational DNA motif discovery is important because it allows for speedy and cost
effective analysis of sequences enriched with DNA motifs, performs large scale comparative …

GPU parallelization strategies for metaheuristics: a survey

M Essaid, L Idoumghar, J Lepagnot… - International Journal of …, 2019 - Taylor & Francis
Metaheuristics have been showing interesting results in solving hard optimization problems.
However, they become limited in terms of effectiveness and runtime for high dimensional …

Real-time energy optimization of irrigation scheduling by parallel multi-objective genetic algorithms

JCA Campos, MA Jiménez-Bello… - Agricultural Water …, 2020 - Elsevier
The present work is motivated by the need to reduce the energy costs arising from the
pressure demands of drip and sprinkling irrigation, compounded by the increase in the …

Design of hybrid metaheuristics for real-world continuous optimization problems

M Essaid - 2019 - theses.hal.science
Metaheuristics are stochastic approaches to provide better solutions in a reasonable time.
However, no algorithm can solve all the problems with optimality. In my thesis topic, we are …

روشی کارا برای پیاده‌سازی موازی الگوریتم دسته بندی بسته درخت سلسله‌مراتبی بر روی واحد پردازش گرافیکی

رفیعی, عباسی, نصیری - مجله مهندسی برق دانشگاه تبریز, 2016‎ - tjee.tabrizu.ac.ir
چکیده: دستهبندی بستهها، پردازشی اساسی در پردازندههای شبکهای است. در این فرآیند، بستههای
ورودی از طریق تطبیق با مجموعهای از فیلترها به جریانهای مشخص طبقهبندی میشوند …