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1
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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2
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“…Background and Objective: The process of solving the Maximum Clique (MC) problem through approximation algorithms is harder, however, the Maximum Vertex Cover (MVC) problem can easily be solved using approximation algorithms. …”
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3
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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4
Solving transcendental equation using genetic algorithm / Masitah Hambari
Published 2004“…This project studies the potential of using Genetic Algorithm and develops a program in order to solve Transcendental Equation in optimizing problem domain. …”
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5
Shuffled frog leaping algorithm for solving economic load dispatch problem / Mohammad Ariffin Aizat Ezanee
Published 2015“…Shuffled Frog Leaping Algorithm (SFLA) is proposed to solve Economic Load Dispatch (ELD) problem. …”
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6
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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7
Application of ant colony optimisation algorithms in solving facility layout problems formulated as quadratic assignment problems: a review
Published 2008“…This paper is aimed to provide a comprehensive review of the concepts of ACO and its application in solving QAPs. In addition, the various ACO algorithms or variants developed to solve them are critically analysed and discussed. …”
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8
Genetic-local hybrid optimizer for solving advance layout problem
Published 2006“…Results show the potentiality of the proposed algorithm in solving the problem and outperforming previous algorithms.…”
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CSC118: Fundamentals of Algorithm Development / College of Computing, Informatics and Media
Published 2023“…This course will focus on algorithm development in problem solving. It will also introduce the students to the techniques of problem solving using modular approach. …”
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10
A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…In the last few decades, significant research effort has been spent on the development of numerical algorithms, particularly for solving combinatorial problems. …”
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11
Review on bio-inspired algorithms approach to solve assembly line balancing problem
Published 2019“…Bio-inspired algorithms that have been developed by mimicking the biological phenomenon of nature have been widely applied to solve many real-world problems. …”
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Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Existing method, known as FDTD needs a very long processing time to solve this problem. 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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13
Solving single machine scheduling problem with maximum lateness using a genetic algorithm
Published 2010“…We develop an optimised crossover operator designed by an undirected bipartite graph within a genetic algorithm for solving a single machine family scheduling problem, where jobs are partitioned into families and setup time is required between these families. …”
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Levy slime mould algorithm for solving numerical and engineering optimization problems
Published 2022“…The proposed Levy Slime Mould Algorithm (LSMA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic called Slime Mould Algorithm (SMA) for solving numerical and engineering problems. …”
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A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega)
Published 2009“…Genetic Algorithms (GAs) are a powerful stochastic search in solving optimization problems. …”
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Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…Therefore, this confirms the validity of the IBA as an alternative algorithm for solving optimisation problems.…”
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17
Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem
Published 2023“…Good performance of these heuristics-based algorithm has been implied through various implementation in solving optimisation problems. …”
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Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…Currently, data encoding in DNA computing is tightly coupled with an algorithm that solves an instance of the problem. Solving another problem requires developing specific encoding and computations anew to prove DNA encoding and form the algorithm which is costly. …”
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19
Developing computational thinking competencies through constructivist argumentation learning: a problem-solving perspective
Published 2022“…Argumentation is a scientific literacy practice focused on developing scientific thinking skills associated with problem-solving. …”
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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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