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Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
Published 2018“…The new hybrid algorithm has been applied on different cases of Knapsack problem with different dimensions. 20 case studies have been evaluated by the new hybrid algorithm. …”
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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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A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…Due to the practical significance of this problem in real-world issues, numerous algorithms have been proposed to solve it. …”
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Formulating new enhanced pattern classification algorithms based on ACO-SVM
Published 2013“…This paper presents two algorithms that integrate new Ant Colony Optimization (ACO) variants which are Incremental Continuous Ant Colony Optimization (IACOR) and Incremental Mixed Variable Ant Colony Optimization (IACOMV) with Support Vector Machine (SVM) to enhance the performance of SVM.The first algorithm aims to solve SVM model selection problem. …”
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The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Published 2025“…Among these algorithms, metaheuristics are an appropriate tool to solve these real problems. …”
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
Published 2015“…This paper proposes a new meta-heuristic approach to solving numerical and graph-based problems. …”
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Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem
Published 2022“…Since then, it has been vastly applied to solve engineering problems. However, SBA has never been deployed to solve MKP. …”
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A Kalman Filter Approach for Solving Unimodal Optimization Problems
Published 2015“…To evaluate the performance of the SKF algorithm in solving unimodal optimization problems, it is applied unimodal benchmark functions of CEC 2014 for real-parameter single objective optimization problems. …”
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Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…Later, this algorithm was used to solve bi-objective Production Planning (PP) and Scheduling Problem (Sch.P). …”
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A New Proposed Pendulum-Like with Attraction-Repulsion mechanism Algorithm for Solving Optimization Problems
Published 2023“…PA algorithm has been constructed with the purpose of solving inverse kinematics (IK) problem. …”
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New fundamental theory in solving the royalty payment problem / Wan Noor Afifah Wan Ahmad and Suliadi Firdaus Sufahani
Published 2020“…This study aim to maximize the functional performance index of the non-classical Optimal Control problem. However, solving the problem, this project has to clarify a few constraints. …”
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Development of optimization Alghorithm for uncertain non-linear dynamical system
Published 2004“…This study succeeded in overcoming the problem of slow convergence and with the modifications, the new algorithms become more efficient in solving the optimal control problems.…”
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Iterative methods for solving split common fixed point problems in Hilbert spaces
Published 2016“…Our interest here is to apply these mappings to propose some algorithms for solving split common fixed point problems and its variant forms, in the end, we prove the convergence results of these algorithms. …”
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Harmony great deluge for solving curriculum based course timetabling problem
Published 2013“…University course timetabling which has been determined as non deterministic polynomial problem that accept widely as problem that are intractable.An efficient algorithm does not exist that is guaranteed to find an optimal solution for such problems.The design of good algorithm to find new methods and techniques to solve such problem is a very active area of research.This paper presents the adaption of the hybridizing between harmony search with great deluge algorithm for solving curriculum-based course timetabling problems.The algorithm can be adapted to the problem.Results were not comparatively better than those previously known as best solution.Proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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Application of ant colony optimisation algorithms in solving facility layout problems formulated as quadratic assignment problems: a review
Published 2008“…In addition, the various ACO algorithms or variants developed to solve them are critically analysed and discussed. …”
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Leader election algorithm in 2D torus networks with the presence of one link failure
Published 2010“…Leader election algorithms solve the instability problem in the network which is caused by leader failure. …”
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The algorithms of Broyden-CG for unconstrained optimization problems
Published 2014“…Therefore, in this paper, the new hybrid method between the conjugate gradient method and the quasi-newton method for solving optimization problem is suggested. …”
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Exploring fruit fly evolutionary algorithm in a university examination timetabling environment
Published 2019“…It is a method that is still limited in optimization and artificial intelligence area for finding global optimization. We use FOA for solving the problem and introduce new neighborhood structures related with median difficult exams to suit with the problem solving. …”
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