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Solving transcendental equation using genetic algorithm / Masitah Hambari by Masitah , Hambari

“…For higher orders like Transcendental Equation, Numerical Methods is used to find the solutions. Genetic algorithm (GA) has long been used for optimization problems that arise in a wide variety of complex systems. …”
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Computer Aided Slope Stability Analysis Using Optimization And Parallel Computing Techniques by Tabarroki, Mohammad

“…Since locating the critical slip surface is believed to be an NP-hard (non-deterministic polynomialtime) problem, heuristic global optimization techniques are employed. …”
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Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management by Khalaf, Wakas S.

“…In order to illustrate the usefulness of our approaches, we elaborate our algorithms on six cases of the well-known time-cost trade-off problem. …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

“…Although useful, the existing algorithms does not provide any comparative data to select an algorithm based on the problem size and difficulty and the use of other neighborhood algorithms (including Great Deluge and Late Acceptance Hill Climbing) has not been sufficiently explored as well. …”
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Application of ant colony optimisation algorithms in solving facility layout problems formulated as quadratic assignment problems: a review by See, Phen Chiak, Wong, Kuan Yew

“…In addition, the various ACO algorithms or variants developed to solve them are critically analysed and discussed. …”
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A time-critical investigation of parameter tuning in differential evolution for non-linear global optimization by Jia, Hui Ong, Teo, Jason Tze Wi

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Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management by Julius, Beneoluchi Odili, M. N. M., Kahar, Noraziah, Ahmad, M., Zarina, Riaz, Ul Haq

“…After critical assessments of the performances of eleven algorithms consisting of two heuristics (Randomized Insertion Algorithm and the Honey Bee Mating Optimization for the Travelling Salesman’s Problem), two trajectory algorithms (Simulated Annealing and Evolutionary Simulated Annealing) and seven population-based optimization algorithms (Genetic Algorithm, Artificial Bee Colony, African Buffalo Optimization, Bat Algorithm, Particle Swarm Optimization, Ant Colony Optimization and Firefly Algorithm) in solving the 60 popular and complex benchmark symmetric Travelling Salesman’s optimization problems out of the total 118 as well as all the 18 asymmetric Travelling Salesman’s Problems test cases available in TSPLIB91. …”
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An improve unsupervised discretization using optimization algorithms for classification problems by Mohamed, Rozlini, Samsudin, Noor Azah

“…Recognizing the critical role of discretization in enhancing classification performance, the study integrates equal width binning (EWB) with two optimization algorithms: the bat algorithm (BA), referred to as EB, and the whale optimization algorithm (WOA), denoted as EW. …”
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An improve unsupervised discretization using optimization algorithms for classification problems by Mohamed, Rozlini, Samsudin, Noor Azah

“…Recognizing the critical role of discretization in enhancing classification performance, the study integrates equal width binning (EWB) with two optimization algorithms: the bat algorithm (BA), referred to as EB, and the whale optimization algorithm (WOA), denoted as EW. …”
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Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm by Wang, Wei, Liu, Yao

“…The final solution to this multiple objective problem is reached by using a set of Pareto solutions.…”
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The design and applications of the african buffalo algorithm for general optimization problems by Odili, Julius Beneoluchi

“…A critical look at these ‘efficient’ stochastic algorithms reveals the need for improvements in the areas of effectiveness, the number of several parameters used, premature convergence, ability to search diverse landscapes and complex implementation strategies. …”
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An efficient algorithm for independent tasks scheduling in heterogeneous computing systems by Al-Qadhi, Abdulrahman Khaldoon Mahmood

“…Twelve datasets with different heterogeneity level examined using different heuristic algorithms to compare the performance with the new algorithm. …”
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Simulated annealing algorithm for solving chambering student-case assignment problem by Ghazali, Saadiah, Abdul Rahman, Syariza

“…The challenge of solving the problem raise whenever the complexity related to preferences, the existence of real-world constraints and problem size increased.This study focuses on solving a chambering student-case assignment problem by using a simulated annealing algorithm where this problem is classified under project assignment problem.The project assignment problem is considered as hard combinatorial optimization problem and solving it using a metaheuristic approach is an advantage because it could return a good solution in a reasonable time. …”
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Minimizing the total cost of inventory by using artificial bee colony algorithm / Nurul Syakira Mohd Zin by Mohd Zin, Nurul Syakira

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The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem by Pook, Mei Foong, Ramlan, Effirul Ikhwan

“…Benchmarking is conducted using the traveling salesman problem. The results are comparable with the results of advanced metaheuristic algorithms. …”
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Simulated annealing for solving economic dispatch problem / Wan Khairulizuan Wan Ismail by Wan Ismail, Wan Khairulizuan

“…In the development of the algorithm, transmission losses are first discounted and they are subsequently incorporated in the algorithm through the use of the B-matrix loss formula. …”
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Power system intentional islanding for different contingency scenarios using discrete optimization technique by Nur Zawani Binti Saharuddin

“…The performance of the proposed MDEP algorithm was evaluated using the IEEE 30-bus, IEEE 39-bus, and IEEE 118-bus test systems. …”

Automated scheduling of hostel room allocation using genetic algorithm by Rayner Alfred, Hin, Fuk Yu

“…The proposed approach involves selecting eligible students using rank based selection method and allocating selected students to the most suitable hostel room possible via the implementation of a genetic algorithm (GA). …”
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Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm by Dalatu, Paul Inuwa

“…We introduced two new approaches to normalization techniques to enhance the K-Means algorithms. This is to remedy the problem of using the existing Min-Max (MM) and Decimal Scaling (DS) techniques, which have overflow weakness. …”
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A modified algorithm for species specific motif discovery by Syed Abdullah, Sharifah Lailee, Harun, Hazaruddin, Taib, Mohd Nasir

“…Experimental results show that the modified algorithm is able to identify motifs as expected. This study showed that a slower algorithm is still needed and has value based on how critical the problem is.…”
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