Results 81 to 90 of about 40,942 (254)

State Transition Algorithm

, 2012
In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization problems, four special transformation operators called rotation ...
A. H. Wright, A. K. Qin, C. Hamzacebi, C. Hamzacebi, D. D. Burgess, D. E. Goldberg, D. H. Wolpert, D. W. Stroock, F. J. Solis, F. V. Berth, G. Albeanu, G. Rudolph, H. A. Abbass, J. A. Nelder, J. C. Lagarias, J. J. Liang, J. Kennedy, J. Matyas, J. Y. Li, K. Deb, K. F. C. Yiu, P. Collet, R. C. Eberhart, R. Hooke, R. Storn, T. D. Tran, T. W. Leung, T. Zhang, X. J. Zhou, X. J. Zhou, X. S. Yang, Y. H. Shi, Y. X. Yuan, Z. Michalewicz   +33 more
core   +1 more source

Metaheuristic optimization algorithms: An overview

HCMCOU Journal of Science – Advances in Computational Structures
Metaheuristic optimization algorithms are versatile and adaptable tools that effectively solve various complex optimization problems. These algorithms are not restricted to specific types of problems or gradients. They can explore globally and handle multi-objective optimization efficiently.
Brahim Benaissa, Masakazu Kobayashi, Musaddiq Al Ali, Tawfiq Khatir, Mohamed El Amine Elaissaoui Elmeliani   +4 more
openaire   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Weighted vertices optimizer (WVO): A novel metaheuristic optimization algorithm

Numerical Algebra, Control & Optimization, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Multi‐objective optimization using metaheuristics: non‐standard algorithms [PDF]

International Transactions in Operational Research, 2012
AbstractIn recent years, the application of metaheuristic techniques to solve multi‐objective optimization problems has become an active research area. Solving this kind of problems involves obtaining a set ofPareto‐optimal solutions in such a way that the correspondingPareto front fulfils the requirements of convergence to the truePareto front and ...
Talbi, El-Ghazali, Basseur, Matthieu, Nebro, Antonio Jesús, Alba, Enrique   +3 more
openaire   +4 more sources

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

On the Mean‐Field Limit of Consensus‐Based Methods

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley   +1 more source

Metaheuristic Algorithms Based PID Controller Tuning Approach for Inverted Pendulum System

Van Yüzüncü Yıl Üniversitesi Mühendislik Fakültesi Dergisi, 2023
Proportional, integral, derivative (PID) controllers, also known as proportional integral derivative controllers, are frequently used to regulate system outputs. PID parameter settings have a significant impact on system performance.
Ahmet Sadık Duru
doaj  

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source