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1
Tackling the berth allocation problem via harmony search algorithm
Published 2024“…Berth Allocation Problem (BAP) is a renowned difficult combinatorial optimization problem that plays a crucial role in maritime transportation systems. …”
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Meta-scheduler in Grid environment with multiple objectives by using genetic algorithm
Published 2006“…The minimization is proposed by using a multiple objective genetic algorithm (GA), because the job scheduling problem is NP-hard problem. …”
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Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad...
Published 2019“…The proposed CISOS algorithm is subsequently employed to solve the allocation of Flexible AC Transmission System (FACTS) devices for the purpose of multi-objective voltage security problem. …”
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Pre-emptive resource-constrained multimode project scheduling using genetic algorithm: a dynamic forward approach
Published 2016“…The results are then compared with branch and bound method and simulated annealing algorithm and it is found the proposed genetic algorithm can provide results with better quality. …”
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Optimum tie switches allocation and DG placement based on maximisation of system loadability using discrete artificial bee colony algorithm
Published 2016“…The obtained results show that with simultaneous optimum DG placement and optimum tie-switch allocation, better results are achieved rather than solving two problems independently. …”
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6
Partial examination assignment approaches for solving examination timetabling problems
Published 2016“…Examination timetabling is one type of scheduling problems faced by academic institutions when allocating examinations into a limited number of time slots and/or rooms. …”
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Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Besides, an optimization algorithm with high efficiency is important to ensure the attainment of optimal solutions, where the optimization algorithms like genetic algorithm and particle swarm optimization are known to have high possibility of being trapped in local optimal points. …”
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Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
Published 2001“…This paper studies a special kind of Constraint Satisfaction Problem (CSP) related to a case of resource allocation. …”
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Tourist Trip Design Problem with user preference and popularity: a case study of Langkawi Island / Nabilah Anuar Ahmad and Huda Zuhrah Ab. Halim
Published 2023“…This study proposed enhancement in the greedy algorithm approach (Benjamin et al., 2019). A greedy algorithm solves a problem that selects the most appropriate option based on the current situation. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…The results showed that the Firefly Algorithm (FA) performs much better for the optimal allocation and sizing of DG compared to the other metaheuristic techniques, particularly based on convergence characteristics and standard deviation. …”
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…One of the most challenging issues in multi-objective problems is finding Pareto optimal points. This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. …”
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Fuzzy lifetime in genetic algorithm against premature convergence
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Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOr). …”
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Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOr). …”
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15
A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…In this study, we propose an Optimised Crossover Genetic Algorithm (OCGA) for the problem. The objective is to find a schedule which minimises the maximum lateness of the jobs in the presence of the sequence independent family setup times.In brief, the proposed OCGA uses binary representation to encode the problem. …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong
Published 2014“…The MVS analysis is extended to solve the electricity allocation problem in the electricity market, where the number of trading choices is considerably small. …”
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Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff
Published 2011“…Uneven distributions of transport, untimely assistance and poor coordination at the operation level have always been the major problem in evacuation process. Currently, no proper procedure is available in managing the evacuation vehicle assignment problem (EVAP) and evacuation vehicle routing problem (EVRP). …”
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18
Enhanced control algorithms for multilevel inverter-based shunt active power filter
Published 2017“…First, dependency on current control algorithm alone is insufficient to solve the severe inherent voltage imbalance problems of multilevel inverters. …”
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Improved thresholding and quantization techniques for image compression
Published 2017“…The results are then compared to the existing algorithms and it is found that the proposed compression algorithm shows double increase in compression ratio performance, produces higher image quality with PSNR value above 40dB and ensures a better bit saving with smooth control at bit rate higher than 4 bpp. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis
Published 2017“…One numerical example has been illustrated the effectiveness of Benders decomposition algorithm for the complicated problem. One example with standard data from Malaysian business has shown to depict the effectiveness of proposed approach for facility location-allocation problem as a mixed integer optimization problem. …”
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