Results 41 to 50 of about 41,487 (244)

WPO: A Whale Particle Optimization Algorithm

International Journal of Computational Intelligence Systems, 2023
Metaheuristic algorithms are novel optimization algorithms often inspired by nature. In recent years, scholars have proposed various metaheuristic algorithms, such as the genetic algorithm (GA), artificial bee colony, particle swarm optimization (PSO ...
Ko-Wei Huang, Ze-Xue Wu, Chang-Long Jiang, Zih-Hao Huang, Shih-Hsiung Lee   +4 more
doaj   +1 more source

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

IEEE Access, 2021
The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids.
Kayode E. Adetunji, Ivan W. Hofsajer, Adnan M. Abu-Mahfouz, Ling Cheng   +3 more
doaj   +1 more source

Metaheuristic design of feedforward neural networks: a review of two decades of research [PDF]

, 2017
Over the past two decades, the feedforward neural network (FNN) optimization has been a key interest among the researchers and practitioners of multiple disciplines.
Abbass, Abraham, Ackley, Ajith Abraham, Akhand, Alba, Ali Ahmadi, Almeida, Alvarez, Amari, Andersen, Angeline, Arifovic, Augusteijn, Azimi-Sadjadi, Bakker, Baranyi, Battiti, Bertsekas, Bishop, Bland, Bousquet, Boussaid, Breiman, Brownlee, Carvalho, Chandra, Charalambous, Chen, Chen, Chen, Chen, Cho, Chrisley, Coello, Cortes, Costa, Cruz-Ramírez, Cybenko, Da, da Silva, Dai, Das, Das, Davis, de Albuquerque Teixeira, Deneubourg, Dhahri, Diebold, Ding, Ditzler, Dominey, Donate, Dorigo, Dumont, Engel, Fahlman, Feo, FernandezCaballero, Fister, Fletcher, Fogel, Fogel, Fontanari, Formato, Frean, Fukumizu, Fullér, Furtuna, Garcia-Pedrajas, García-Pedrajas, García-Pedrajas, Gaspar-Cunha, Geem, Geman, Gershenfeld, Ghalambaz, Girosi, Giustolisi, Glover, Goh, Goldberg, Gori, Gorin, Green, Grossberg, Hagan, Hansen, Haykin, Haykin, Hernández, Hestenes, Hinton, Hinton, Hinton, Hirose, Ho, Holland, Hopfield, Hornik, Hornik, Huang, Huang, Huang, Huang, Huang, Igel, Ilonen, Irani, Irani, Islam, Jacobs, Jain, Jain, Jin, Juang, Kaelbling, Karaboga, Karpat, Kennedy, Khan, Khan, Kim, Kim, Kim, Kim, Kiranyaz, Kirkpatrick, Kitano, Kitano, Kohonen, Kolmogorov, Kordík, Kouda, Koza, Kulluk, Kŭrková, Lam, Larrañaga, LeCun, Lera, Leshno, Leung, Leung, Lewenstein, Li, Lin, Lin, Ling, Lippmann, Liu, Liu, Lowe, Ludermir, Mahdavi, Maniezzo, March, Marquardt, Martínez-Muñoz, Mazurowski, McCulloch, Menczer, Merrill, Metropolis, Minku, Minsky, Mirjalili, Mirjalili, Mitra, Mjolsness, Mladenović, Moriarty, Murray, Nakama, Nandy, Narayanan, Natschläger, Nedjah, Niranjan, Niu, Nolfi, Oh, Ojha, Osman, Pan, Passino, Pearce, Pencina, Peng, Pettersson, Pipino, Polikar, Prechelt, Prisecaru, Puig, Rashedi, Reed, Ritchie, Rosenblatt, Rumelhart, Rumelhart, Saad, Salajegheh, Sarkar, Schaffer, Schapire, Schmidhuber, Schwefel, Sejnowski, Selmic, Sexton, Sexton, Sexton, Shang, Sharma, Sietsma, Simovici, Sivagaminathan, Slowik, Socha, Socha, Sokolova, Sporea, Stanley, Storn, Sum, Sörensen, Tang, Tayefeh Mahmoudi, Toh, Tong, Trelea, Trentin, Tsai, Tsai, Tsoulos, Twomey, Ulagammai, Van den Bergh, van der Voet, Varun Kumar Ojha, Venkadesh, Ventura, Vieira, Václav Snášel, Wand, Wang, Wessels, Weyland, Whitley, Widrow, Wiegand, Wilson, Wolpert, Wolpert, Xi-Zhao, Yaghini, Yang, Yang, Yao, Yao, Yao, Yao, Yao, Yao, Yao, Ye, Yin, Yusiong, Zhang, Zhang, Zhang, Zhang, Zhang, Zhao, Zhou, Zhou, Zikopoulos, Zăvoianu, Černỳ   +279 more
core   +2 more sources

Designing a Draft for a Metaheuristic Curriculum Evaluation Model (MCEM) Based on the Examination of Various Metaheuristic Artificial Intelligence Optimization Applications

International Journal of Turkish Education Sciences
This paper explores the integration of metaheuristic artificial intelligence (AI) optimization algorithms into the process of curriculum evaluation, proposing a novel approach that could enhance educational outcomes.
Volkan Duran, Gülay Ekici
doaj   +1 more source

Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A Concise Overview With a Proof-of-Concept Study

IEEE Access
Sustainable development has emerged as a global priority, and industries are increasingly striving to align their operations with sustainable practices.
Absalom El-Shamir Ezugwu
doaj   +1 more source

Survey of Lévy Flight-Based Metaheuristics for Optimization

Mathematics, 2022
Lévy flight is a random walk mechanism which can make large jumps at local locations with a high probability. The probability density distribution of Lévy flight was characterized by sharp peaks, asymmetry, and trailing.
Juan Li, Qing An, Hong Lei, Qian Deng, Gai-Ge Wang   +4 more
doaj   +1 more source

Composite configuration optimization by metaheuristic algorithm

, 2021
This document present the use of optimization method to obtain the best composite configuration to an specific geometry and load. And are presented some simple analysis with knowing cases. The Tensile Plate optimization found a configuration very close of the knowing configuration with an error of 0,36% at run 1 and 3,41% at run 2.
Simon, I, Gomes, H. M.
openaire   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

A comprehensive review of metaheuristic algorithms for mobile robot path planning

Applied Computer Science
Path planning and optimization are essential topics in robotics because they directly affect the effectiveness and safety of robot navigation. The application of metaheuristic methods and algorithms in the field of robot motion planning has attracted ...
Sheren SADIQ, Araz ABRAHIM, Haval SADEEQ
doaj   +1 more source

Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach [PDF]

, 2018
In real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs.
Cavero-Lázaro, Marta, Estrada-Moreno, Alejandro, Juan Pérez, Ángel Alejandro, Nogal Macho, María, Serrat Piè, Carles   +4 more
core   +3 more sources