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Publikováno v:
ChemistrySelect; 11/4/2024, Vol. 9 Issue 41, p1-10, 10p
Publikováno v:
Asian Journal of Pharmacy and Pharmacology. 5:714-721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6514c463241bc8ec6f4e8da400aea56c
https://doi.org/10.31024/ajpp.2019.5.4.9
https://doi.org/10.31024/ajpp.2019.5.4.9
Autor:
Hrishikesh Dewan, Raksha B. Nayak
Publikováno v:
2014 International Conference on Information Science & Applications (ICISA).
We present in this paper a new algorithm based on Particle Swarm Optimization (PSO) for solving Dynamic Single Objective Constrained Optimization (DCOP) problems. We have modified several different parameters of the original particle swarm optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cdc253fc9dd48927ab01675603c28aa
https://doi.org/10.1109/icisa.2014.6847466
https://doi.org/10.1109/icisa.2014.6847466
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132217701
SocProS (1)
SocProS (1)
Particle Swarm Optimization is a parallel algorithm that spawns particles across a search space searching for an optimized solution. Though inherently parallel, they have distinct synchronizations points which stumbles attempts to create completely d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b017e1c1238bf3db87b098661da08ee3
https://doi.org/10.1007/978-81-322-1771-8_60
https://doi.org/10.1007/978-81-322-1771-8_60
Autor:
Hrishikesh Dewan, Raksha B. Nayak
Publikováno v:
ISSRE (Supplemental Proceedings)
Summary form only given. Numerical Optimization is an integral part of most engineering, scientific work and is a computationally intensive job. Most optimization frameworks developed so far executes numerical algorithms in a single processor or in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95f096c7bf3c8ac2f1082405c24f9562
https://doi.org/10.1109/issrew.2013.6688870
https://doi.org/10.1109/issrew.2013.6688870
Publikováno v:
Swarm, Evolutionary, and Memetic Computing ISBN: 9783319037523
SEMCCO (1)
SEMCCO (1)
Particle Swarm Optimization PSO is a well-known technique that has been used for a wide range of optimization problems. The method is inherently parallel, wherein a group of particles wander in the solution space; communicate with one another to find
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d914229a68575754882910f012d85d
https://doi.org/10.1007/978-3-319-03753-0_64
https://doi.org/10.1007/978-3-319-03753-0_64
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783319038438
MIKE
MIKE
Multi-objective optimization problem is an important part in solving a wide number of engineering and scientific applications. To-date, most of the research has been conducted in solving static multi-objective problems where the decision variables an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::577bdcede4a4596e9bcf5eca3e5db88f
https://doi.org/10.1007/978-3-319-03844-5_46
https://doi.org/10.1007/978-3-319-03844-5_46
Publikováno v:
Swarm, Evolutionary, and Memetic Computing ISBN: 9783319037523
SEMCCO (1)
SEMCCO (1)
Natural problems are not static but dynamic in nature. Dynamism could be due to a large number of factors such as inability to gauge accurate objective functions or changing constraints in a random environment. As such, dynamic optimization problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a151ff46a047ddbb11a8ffeaa224c840
https://doi.org/10.1007/978-3-319-03753-0_56
https://doi.org/10.1007/978-3-319-03753-0_56
Akademický článek
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