Results 201 to 210 of about 40,942 (254)

Trend Factor Smoothing and Tasmanian Devil Optimization based Siamese Neural Network for anomaly detection in predictive maintenance. [PDF]

Sci Rep
Hector I, Panjanathan R.
europepmc   +1 more source

Enzyme action optimizer based infinite impulse response filter identification through a comprehensive benchmark across full and reduced orders. [PDF]

Sci Rep
Cinar RF.
europepmc   +1 more source

Comprehensive framework of machine learning and deep learning architectures with metaheuristic optimization for high-fidelity prediction of nanofluid specific heat capacity. [PDF]

Sci Rep
Mathur P, Kumar D, Sheth F, Shaikh H, Gupta AK.   +4 more
europepmc   +1 more source

A sport inspired kabaddi game optimizer for accurate parameter estimation of solar photovoltaic models. [PDF]

Sci Rep
Ayyarao TSLV, Kishore GI, Dev A, Siddaraj U.   +3 more
europepmc   +1 more source

An Improved Red-Billed Blue Magpie Optimization for Function Optimization and Engineering Problems. [PDF]

Biomimetics (Basel)
Han C, Zhang T, Han H, Dai W, Wu W.
europepmc   +1 more source

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Metaheuristic Optimization Algorithms

2021
In this introductory chapter, specific state-of-the-art metaheuristic optimization algorithms are outlined. The presented algorithms belong to the broad trajectory-based and population-based categories, and they are particularly selected as they constitute the building blocks of algorithm portfolios presented in the forthcoming chapters.
Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias S. Kotsireas, Panos M. Pardalos   +3 more
openaire   +2 more sources

Gradient-based optimizer: A new metaheuristic optimization algorithm

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Iman Ahmadianfar, Omid Bozorg-Haddad, Xuefeng Chu   +2 more
openaire   +1 more source

Metaheuristic Optimization Review: Algorithms and Applications

Journal of Artificial Intelligence and Metaheuristics, 2023
Metaheuristic optimisation algorithms have become more well liked in recent years due to their success in solving challenging optimisation problems. Only a few of the metaheuristic optimisation techniques covered in this work include genetic algorithms, particle swarm optimisation, simulated annealing, ant colony optimisation, and many others.
Mohamed Saber, Abdelaziz A. Abdelhamid, Abdelhameed Ibrahim   +2 more
openaire   +1 more source

Fuzzy optimization and metaheuristic algorithms

Babylonian Journal of Mathematics, 2023
Fuzzy optimization and metaheuristic algorithms are two important fields in computational intelligence. Fuzzy optimization deals with the optimization of systems or processes that involve fuzzy sets or fuzzy logic, while metaheuristic algorithms are a class of optimization algorithms that are designed to solve difficult problems by mimicking natural ...
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Introduction: Optimization and Metaheuristics Algorithms

2020
Present chapter embodies an introductory overview of optimization and metaheuristic algorithms. An optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function.
Padam Singh, Sushil Kumar Choudhary
openaire   +1 more source