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Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem
Published 2023“…Heuristics-based algorithms were introduced to counter the problem faced by classical optimisation techniques. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem
Published 2016“…The quadratic assignment problem (QAP) is an NP hard combinatorial optimization problem with a wide variety of applications.Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems.It has been shown that BBO provides performance on a par with other optimization methods.A classical BBO algorithm employs the mutation operator as its diversification strategy. …”
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A Biogeography-Based Optimization Algorithm Hybridized With Tabu Search For The Quadratic Assignment Problem
Published 2016“…However, this process will often ruin the quality of solutions in QAP. In this paper, we propose a hybrid technique to overcome the weakness of classical BBO algorithm to solve QAP, by replacing the mutation operator with a tabu search procedure. …”
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AN ENSEMBLE APPROACH OF METAHEURISTIC ALGORITHMS WITH PARABOLIC APPROXIMATION TO OPTIMIZE WELL PLACEMENT PROBLEM
Published 2021“…However, the ensemble algorithm often changes search strategies and adds an algorithm based on their success, which makes it more reliable on multimodal optimization problems. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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Proceeding Paper -
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
Published 2017“…To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
Published 2017“…To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Adaptation of homotopy-perturbation method for numeric–analytic solution of system of ODEs
Published 2008“…A new reliable algorithm based on an adaptation of the standard Homotopy-Perturbation Method (HPM) is presented. …”
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Full waveform inversion based on genetic local search algorithm with hybrid-grid scheme
Published 2019“…This results in low-resolution model less than optimum solution. Therefore, we propose an FWI method based on genetic local search algorithm with hybrid-grid scheme (HGLS-FWI). …”
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Application of multistage homotopy-perturbation method for the solutions of the Chen system
Published 2009“…The HPM is treated as an algorithm in a sequence of intervals for finding accurate approximate solutions to the Chen system.We shall call this technique as the multistage HPM (for short MHPM). …”
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A powerful Numeric-analytic Technique for handling prey-predator problems
Published 2012“…In this paper, a new reliable algorithm based on an adaptation of the standard Adomian decomposition method (ADM) is presented. …”
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Proceeding Paper -
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An Efficient Computational Algorithm for Solving Arbitrary Sylvester Matrix Equations in Fuzzy Control Theory (S/O 14179)
Published 2021“…As a result, the constructed algorithm has successfully demonstrated the solutions for the arbitrary FFSME, with minimum complexity of the fuzzy operations. …”
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications
Published 2020“…Approximating the solution of such mathematical problems requires a fast and reliable methodology. …”
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Immunized-evolutionary algorithm based technique for loss control in transmission system with multi-load increment
Published 2023“…The classical EP was integrated with immune algorithm so as to reduce the computational burden experienced by the classical EP.The algorithm has been tested on an IEEE 12-Bus System and IEEE 14-Bus System.Comparative study was conducted between EP and IEP in terms of optimisation performance. …”
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