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An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
Published 2023“…Sustainable development is a problem-solving method that simultaneously accounts for the economic, environmental, and social impacts of actions. …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The first approach is to develop an efficient sequential algorithm for the window method. …”
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Shuffled frog leaping algorithm for solving economic load dispatch problem / Mohammad Ariffin Aizat Ezanee
Published 2015“…The proposed SFLA method is developed using MATLAB programming. This SFLA method is tested on IEEE 30 bus system and the results show that it can solve ELD problem by providing minimum cost. …”
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Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem
Published 2018“…Material and methods: To test the proposed technique, selected approximation algorithms have been developed to small graph instances. …”
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Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system
Published 2010“…These developed algorithms are tested on 14, 118 and 300 IEEE bus systems. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Based on the proposed heuristic method, we developed a program to optimize the routing problem using the Visual Studio C++ 6.0 programming language.…”
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9
A hybrid SP-QPSO algorithm with parameter free adaptive penalty method for constrained global optimization problems
Published 2018“…This paper attempts the suitability of newly developed hybrid algorithm, Shuffled Complex Evolution with Quantum Particle Swarm Optimization abbreviated as SP-QPSO, extended specifically designed for solving constrained optimization problems. …”
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Overview of metaheuristic: classification of population and trajectory
Published 2010“…Some algorithms can be defined if the developer of the system has problem specific knowledge to the solution. …”
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Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri.
Published 2012“…The objective of this research is to present a heuristic method, called Genetic Algorithm (GA), to solve the VRP. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…Therefore, metaheuristic method based genetic algorithm has been developed to obtain feasible and optimal solution with less computation time. …”
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…As a member of the NP Problem, an exact algorithm to solve the course scheduling problem is not available to date. …”
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Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
Published 2020“…In this report, a Genetic Algorithm (GA) is applied for solving University sports timetabling problems. …”
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Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…Finally, the developed IBA is found consistent with the exact method which is the simplex method when tested through fairness nurse scheduling problem. …”
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CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences
Published 2023“…In the end they are expected to develop the ability to analyze simple problems, organize effective algorithmic solutions for the problems and write computer programs to solve them.…”
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Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…Artificial Bee Colony (ABC) algorithm is one of the methods used to solve the flowshop scheduling problem but only a few researches have been found using this method in this area. …”
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Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…The objective of the thesis is to develop new sequential and parallel algorithms that are faster than the standard Finite Difference Time Domain method. …”
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A Descent Three-Term Conjugate Gradient Direction For Problems Of Unconstrained Optimization With Application
Published 2026“…The study further expanded the proposed method to address an image restoration problem. The computational experiments yielded promising results, proving that the proposed CG algorithm surpasses others. …”
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