Results 11 to 20 of about 7,772,956 (333)
Flexible Smart Energy-Management Systems Using an Online Tendering Process Framework for Microgrids
Currently, modern power grids are evolving into complex cyber-physical systems integrated with distributed energy resources that can be controlled and monitored by computer-based algorithms.
Mansour Selseleh Jonban +3 more
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Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm
In this paper we present effect of the chaotic crossover operator with different chaotic maps on the metaheuristic search algorithm Breeding Swarms algorithm which is the Particle Swarm Optimization’s one of the genetic algorithm hybrid form. Some of the
Nilüfer Yurtay, Hüseyin Demirci
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This paper presents a new hybrid metaheuristic algorithm, the hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm (hHHO-AOA), as we have named it. It is proposed for sizing optimization and design of autonomous microgrids. The proposed hybrid
İpek Çetinbaş +2 more
semanticscholar +1 more source
Hybrid Algorithm for Solving the Quadratic Assignment Problem
This article is devoted to solving the quadratic assignment problem using a hybrid algorithm contains both genetic and evolutionary algorithms. The quadratic assignment problem is one of the fundamental problems of combinatorial optimization in the field
Elena Polupanova, Elisey Nigodin
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The Inverse Method of Damage Detection using Swarm Life Cycle Algorithm (SLCA) via Modal Parameters in Beam Like Structures [PDF]
The Non-destructive vibration based structural damage detection techniques have been developed in the recent decades. They are usually converted into a mathematical optimization problem that should be solved using optimization algorithms.
Alireza Arghavan +2 more
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Hybrid algorithm for parameter estimation of fuel cell
Proton Exchange Membrane Fuel Cells (PEMFC) have been one of the most promising energy alternatives to the non‐renewable resources of energy in the last few years owing to their numerous advantages such as reliability and pollution‐free, sustainability ...
Beant Singh +4 more
semanticscholar +1 more source
Quantum-behaved Particle Swarm Optimization with Nelder-Mead Simplex Search Method [PDF]
This paper proposes a novel hybrid algorithm based on quantum-behaved particle swarm optimization (QPSO) algorithm and Nelder-Mead (NM) simplex search method for continuous optimization problems, abbreviated as QPSO-NM. This hybrid algorithm is very easy
Weiquan Yao
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This paper proposes a hybrid algorithm for capacity configuration optimization of a solar PV-battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle Swarm Optimization (PSO) and Bat Algorithm (BA), is designed to ...
Ahmad Almadhor +4 more
semanticscholar +1 more source
This paper deals with the school timetabling problem. The problem was formulated as encountered in a typical Greek high school. A local version of the particle swarm optimization algorithm was developed and applied to the problem at hand. Results on well-
Ioannis X. Tassopoulos +3 more
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Power from solar energy is not reliable, due to weather-related factors, which diminishes the power system’s reliability. Therefore, this study suggests a way to predict the intensity of solar irradiance using various statistical algorithms and ...
Wanqing Song +4 more
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