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A comprehensive survey on genetic algorithms for DNA motif prediction
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 …
effective analysis of sequences enriched with DNA motifs, performs large scale comparative …
GPU parallelization strategies for metaheuristics: a survey
Metaheuristics have been showing interesting results in solving hard optimization problems.
However, they become limited in terms of effectiveness and runtime for high dimensional …
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 …
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 …
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 …
ورودی از طریق تطبیق با مجموعهای از فیلترها به جریانهای مشخص طبقهبندی میشوند …