Results 111 to 120 of about 442 (139)

State-of-the-art and real-time implementation of an IoT-based home energy management system for a cluster of dwellings. [PDF]

Heliyon
Ramachandra N, Natarajan R.
europepmc   +1 more source

Bi-objective jellyfish algorithm for team formation problem. [PDF]

Sci Rep
Salam MA, Aldawsari M, Nageh N.
europepmc   +1 more source

A genetic algorithm-based ensemble framework for wind speed forecasting. [PDF]

Sci Rep
Barchi TM, Dos Santos JLF, Alves TA, de Mattos Neto PSG, Stevan SL, Corrêa FC, Medina MCC, Siqueira HV, de Oliveira JFL.   +8 more
europepmc   +1 more source

An Enhanced Team-Oriented Swarm Optimization Algorithm (ETOSO) for Robust and Efficient High-Dimensional Search. [PDF]

Biomimetics (Basel)
BenAbdennour A.
europepmc   +1 more source

Optimization of range based self-localization problem in wireless sensor networks using improved cuckoo search algorithm. [PDF]

Sci Rep
Aouthu S, Dhanalakshmi N, Seshagiri T, Dilli R.   +3 more
europepmc   +1 more source

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An Efficient Metaheuristic Technique to Control the Maximum Power Point of a Partially Shaded Photovoltaic System Using Crow Search Algorithm (CSA)

Journal of Electrical Engineering & Technology, 2020
The field of research in maximum power point tracking (MPPT) methods is experiencing great progress with a wide range of techniques being suggested, ranging from simple but ineffective methods to more effective but complex ones. Therefore, it is very important to propose a strategy that is both simple and effective in controlling the global maximum ...
Yehya Houam, Amel Terki, Noureddine Bouarroudj   +2 more
openaire   +1 more source

Evaluation of Crow Search Algorithm (CSA) for Optimization in Discrete Applications

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019
The optimization algorithms are heuristic and metaheuristic. Heuristic algorithms discover the solution by using the trial and error method. On the other hand metaheuristic algorithms find the solution at higher level. There are many nature based metaheuristic algorithms are available.
Suvarna Shirke, R. Udayakumar
openaire   +1 more source

Crow Search Algorithm (CSA)

2017
The crow search algorithm (CSA) is novel metaheuristic optimization algorithm, which is based on simulating the intelligent behavior of crow flocks. This algorithm was introduced by Askarzadeh (2016) and the preliminary results illustrated its potential to solve numerous complex engineering-related optimization problems.
Babak Zolghadr-Asli, Omid Bozorg-Haddad, Xuefeng Chu   +2 more
openaire   +1 more source

Particle swarm optimization (PSO), crow search algorithm (CSA), charged system search algorithm (CSSA) and big-bang big crunch optimization (B-BBCO) - Optimization methods – A critical review

AIP Conference Proceedings, 2022
Mubina Nancy, S. Elizabeth Amudhini Stephen   +1 more
openaire   +1 more source