Results 71 to 80 of about 45,948 (211)

Gold Rush Optimizer. A New Population-Based Metaheuristic Algorithm [PDF]

Operations Research and Decisions, 2023
Today's world is characterised by competitive environments, optimal resource utilization, and cost reduction, which has resulted in an increasing role for metaheuristic algorithms in solving complex modern problems. As a result, this paper introduces the
Kamran Zolfi
doaj  

An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]

, 2011
This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
al-Rifaie, Mohammad Majid, Bishop, Mark (J. M.), Blackwell, Tim M.   +2 more
core   +2 more sources

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 comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]

, 2019
Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos, Garcia-Rodenas, Ricardo, Lopez-Fidalgo, Jesus, Martin-Baos, Jose Angel, Wong, Weng Kee   +4 more
core  

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

Multi-Strategy Enhanced Crested Porcupine Optimizer: CAPCPO

Mathematics
Metaheuristic algorithms are widely used in engineering problems due to their high efficiency and simplicity. However, engineering challenges often involve multiple control variables, which present significant obstacles for metaheuristic algorithms.
Haijun Liu, Rui Zhou, Xiaoyong Zhong, Yuan Yao, Weifeng Shan, Jing Yuan, Jian Xiao, Yan Ma, Kunpeng Zhang, Zhibin Wang   +9 more
doaj   +1 more source

Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Nowadays, the use of metaheuristic optimization algorithms is becoming widespread because of easy applying and be able to provide requirements in the solution of high level complex optimization problems.
Kunter Sercan SEZER, Nevra BAYHAN
doaj  

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 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