Results 91 to 100 of about 12,030 (235)

Cyberattack‐Resilient Fractional‐Order PPI Control for Frequency Regulation in PV‐Integrated Power Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Load‐frequency control (LFC) comprises a primary process in interconnected electrical power systems, playing a critical role in maintaining the stability and reliability of the electrical grid. It is of paramount importance that the designed controller functions in an optimal manner, particularly with regard to the compression of area ...
Bora Çavdar, Erdinç Şahin, Fatih Mehmet Nuroğlu   +2 more
wiley   +1 more source

RRT-Based Optimizer: A Novel Metaheuristic Algorithm Based on Rapidly-Exploring Random Trees Algorithm

IEEE Access
Real-world optimization problems are becoming increasingly complex and require effective and versatile algorithms to provide reliable solutions. However, the no-free-lunch theorem indicates that no single optimization algorithm can solve all optimization
Guang-Jin Lai, Tao Li, Bao-Jun Shi
doaj   +1 more source

State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning

Energy Conversion and Economics, EarlyView.
Abstract Accurate state of health (SOH) estimation is crucial for the safe operation of lithium‐ion batteries. To address the limited capability of traditional models in characterizing nonlinear degradation, this study proposes a novel data‐driven SOH estimation framework.
Yumin Zhang, Yongtao Liu, Pingfeng Ye, Xingquan Ji, Yunqi Wang, Kezhuang Xue, Xuchen Ma   +6 more
wiley   +1 more source

Advanced Maximum Power Point Tracking in Photovoltaic Systems: A Comprehensive Review of Classical, AI‐Based, and Metaheuristic Optimization Techniques

Engineering Reports
Photovoltaic (PV) systems play a vital role in harnessing solar energy, which has become increasingly important due to growing environmental concerns and the pressing demand for renewable energy sources (RES).
Salam J. Yaqoob, Husam Arnoos, Naseer T. Alwan, Mohit Bajaj, Ietiqal M. Alwan, Mohanad Hasan Ali Aljanabi, Basem Abu Zneid, Mebratu Sintie Geremew   +7 more
doaj   +1 more source

Metaheuristic Approaches to Enhance Voice-Based Gender Identification Using Machine Learning Methods

Applied Sciences
Nowadays, classification of a person’s gender by analyzing characteristics of their voice is generally called voice-based identification. This paper presents an investigation on systematic research of metaheuristic optimization algorithms regarding ...
Şahin Yıldırım, Mehmet Safa Bingöl
doaj   +1 more source

A fast metaheuristic approach for the planar multiple obnoxious facility location problem

International Transactions in Operational Research, EarlyView.
Abstract The multiple obnoxious facility location problem is one of the most studied problems in the literature of the obnoxious facility location problems family. In this work, we propose an alternative algorithmic approach for this problem, based on an efficient metaheuristic procedure over a discretization of the plane based on Voronoi diagrams ...
Sergio Salazar, Abraham Duarte, J. Manuel Colmenar   +2 more
wiley   +1 more source

An effective and efficient matheuristic for the electric vehicle routing problem with capacitated recharging stations

International Transactions in Operational Research, EarlyView.
Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri, Daniele Ferone, Paola Festa, Ornella Pisacane   +3 more
wiley   +1 more source

Portfolio Optimization with Metaheuristics

Finance and Market, 2017
<p>Portfolio optimization is the problem ofsearching foran optimal allocation of wealth to put in the available assets. Since the seminalworkdoneby Markowitz, the problem is codifiedas a two-objective mean-risk optimization problem where the best trade-off solutions (portfolios) between risk (measured by variance) and mean are hunted.
openaire   +1 more source

Integrated location–inventory planning for slow‐moving demands with waiting time limitations

International Transactions in Operational Research, EarlyView.
Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu, Fan E, Kai Huang, Yunyang Lu, Majid Taghavi   +4 more
wiley   +1 more source

A matheuristic for the traveling salesman problem with positional consistency constraints

International Transactions in Operational Research, EarlyView.
Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley   +1 more source