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Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman
Published 2012“…Sudoku Generator is a prototype that automatically generates and solves the Sudoku. Before this, Sudoku generator has been develop using backtracking algorithm only, but this research use two algorithm which is recursive and backtracking algorithm that called as hybrid algorithm. …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…Further more, an improved non-dominated sorting genetic algorithm with an elite strategy II (IMNSGA-II) has been developed to solve the two bi-objective models, surpassing existing literature’s algorithms such as Pareto Envelope-based Selection Algorithm II (PESA-II) and NSGA-II. …”
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Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Complexity reduction approach concept is used to develop these algorithms. This approach split the solution domain into 1 3 and 2 3 compartments in 1D case and 1 9 and 8 9 compartments in 2D cases. …”
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Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem
Published 2023Article -
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SUDOKU HELPER
Published 2015“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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Final Year Project -
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Review of Multi-Objective Swarm Intelligence Optimization Algorithms
Published 2021“…These reviewed algorithms were mainly developed to solve continuous MOPs. …”
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Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…In addition, one of the main challenges has been development of efficient algorithm for solving aforementioned model to find exact feasible optimal solution. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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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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Final Year Project Report / IMRAD -
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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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Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…This proves the capability of the developed hybrid algorithm in solving the formulated model.…”
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Review on bio-inspired algorithms approach to solve assembly line balancing problem
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Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
Published 2020“…A two-step enhanced non-dominated sorting HHMO (2SENDSHHMO) algorithm has been proposed to solve this problem. …”
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Developing computational thinking competencies through constructivist argumentation learning: a problem-solving perspective
Published 2022“…To nurture higher order thinking skills and to engage effective problem-solvers, our framework incorporates four Computational Thinking-Argumentation design principles to support instructional innovation in the teaching and learning of science at the secondary school level, viz. 1) developing problem-solving competencies and building capability in solving uncertainties throughout scientific inquiry; 2) developing creative thinking and cooperativity through negotiation and evaluation; 3) developing algorithmic thinking in talking and writing; 4) developing critical thinking in the processes of abstraction and generalization.…”
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Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity
Published 2019“…On the other hand, multi-objective algorithm is applicable to solve a problem with two or more objectives. …”
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