Results 71 to 80 of about 50,815 (253)
, 2015 We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulation known as the curriculum-based course timetabling problem, which has been
Bellio, Ruggero +4 more
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Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm
Energy Science &Engineering, EarlyView.This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley +1 more source
Journal of Applied Mathematics, 2013 Annual Crop Planning (ACP) is an NP-hard-type optimization problem in agricultural planning. It involves finding optimal solutions concerning the seasonal allocations of a limited amount of agricultural land amongst the various competing crops that are ...
Sivashan Chetty +1 more
doaj +1 more source
Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization
Mathematics, 2022 The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity
Tingting Zou, Changyu Wang
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A New Metaheuristic Bat-Inspired Algorithm
, 2010 Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems.
J. Kennedy +9 more
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Ant colony optimization and its application to the vehicle routing problem with pickups and deliveries [PDF]
, 2009 Ant Colony Optimization (ACO) is a population-based metaheuristic that can be used to find approximate solutions to difficult optimization problems. It was first introduced for solving the Traveling Salesperson Problem. Since then many implementations of
Catay, Bulent, Çatay, Bülent
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Energy Science &Engineering, EarlyView.Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
The fusion–fission optimization (FuFiO) algorithm
Scientific Reports, 2022 Fusion–Fission Optimization (FuFiO) is proposed as a new metaheuristic algorithm that simulates the tendency of nuclei to increase their binding energy and achieve higher levels of stability.
Behnaz Nouhi +5 more
doaj +1 more source
Bat Algorithm for Multi-objective Optimisation [PDF]
, 2011 Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms.
Yang, Xin-She
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Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source