Search Results - (( (programs OR program) _ metaheuristic algorithm ) OR ( java application using algorithm ))

Overview of metaheuristic: classification of population and trajectory by Zainul Rashid, Zarina

“…Algorithms are used to find the solutions through the computer program. …”
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Metaheuristic algorithms based on compromise programming for the multi-objective urban shipment problem by Ngo, Tung Son, Jaafar, Jafreezal, Aziz, Izzatdin Abdul, Aftab, Muhammad Umar, Nguyen, Hoang Giang, Bui, Ngoc Anh

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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

“…For each case study, a capacity model was constructed in Microsoft Excel spreadsheet, as an input to the above mentioned metaheuristic algorithms which programmed in Matlab coding. …”
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Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network by Kho, Liew Ching

“…The newly proposed metaheuristic algorithm was enhanced ant colony optimization (ACO) algorithm.…”
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Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem by Ngo, T.S., Jaafar, J., Aziz, I.A., Aftab, M.U., Nguyen, H.G., Bui, N.A.

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A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., El-Shafie A.

Some metaheuristic algorithms for solving multiple cross-functional team selection problems by Ngo, S.T., Jaafar, J., Izzatdin, A.A., Tong, G.T., Bui, A.N.

“…We introduced a method that combines a compromise programming (CP) approach and metaheuristic algorithms, including the genetic algorithm (GA) and ant colony optimization (ACO), to solve the proposed optimization problem. …”
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Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming by Mansor, Mohd. Asyraf

“…A hybrid network called HNN-3SATAIS is proposed by assimilating the Hopfield neural network with the enhanced artificial immune system (AIS) algorithm as a training tool in doing 3-Satisfiability logic programming.…”
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Advances in metaheuristics: Applications in engineering systems by Ganesan, T., Vasant, P., Elamvazuthi, I.

“…It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. …”
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A performance comparison of metaheuristics search for university course timetabling problems by Joe Henry Obit, Kuan Yik Junn, Rayner Alfred

“…In this research, a Constraint Programming (CP) algorithm is proposed and implemented in order to solve the hard constraint while satisfying the soft constraints is handled by using the Great Deluge (GD) algorithm. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…Combinatorial Testing (CT) is a software testing technique that aims to identify defects in complex systems by covering as many combinations of input parameters as possible within a given time and resource constraint. The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…Combinatorial Testing (CT) is a software testing technique that aims to identify defects in complex systems by covering as many combinations of input parameters as possible within a given time and resource constraint. The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…Combinatorial Testing (CT) is a software testing technique that aims to identify defects in complex systems by covering as many combinations of input parameters as possible within a given time and resource constraint. The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Saufihamizal Ibrahim, Izrulfizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…- Combinatorial Testing (CT) is a software testing technique that aims to identify defects in complex systems by covering as many combinations of input parameters as possible within a given time and resource constraint. The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

“…Combinatorial Testing (CT) is a software testing technique that aims to identify defects in complex systems by covering as many combinations of input parameters as possible within a given time and resource constraint. The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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An iterative procedure for production-inventory-distribution routing problem by Dicky Lim, T.K., Moin, N.H.

“…We propose a MatHeuristic algorithm, an optimization algorithm made by the interpolation of metaheuristics and mathematical programming techniques, to solve the model. …”
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Selecting quality initial random seed for metaheuristic pproaches: a case of timetabling problem by Md Sultan, Abu Bakar, Mahmod, Ramlan, Sulaiman, Md. Nasir, Abu Bakar, Mohd Rizam

“…This paper analyzes the effect of different random seed over metaheuristic performance. Techniques for selecting quality random seeding as an input for metaheuristic algorithm to solve university course timetabling are presented. …”
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Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain by Roslee, Muhammad Sharifuddin

“…Below is the comparison of the fitness value among 20 metaheuristics algorithms run through Python programming.…”
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A genetic algorithm for capital budgeting problem with fuzzy parameters by Rashidi-Bajgan, Hannaneh, Rezaeian, Javad, Nehzati, Taravatsadat, Ismail, Napsiah

“…Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters.…”
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Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times by Li, Zixiang, Janardhanan, Mukund Nilakantan, Tang, Qiuhua, Ponnambalam, S. G.

“…A comprehensive study with 13 algorithms demonstrates that the two variants of artificial bee colony algorithm and migrating bird optimization algorithm are capable to achieve the optimality for small-size instances and to obtain promising results for large-size instances.…”
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