Search Results - (( java application based algorithm ) OR ( costing practices (problems OR problem) algorithm ))

Application of adaptive bats sonar algorithm for solving a single objective of practical business optimisation problem PROBLEM by Nafrizuan, Mat Yahya, M. Nafis, O. Z.

“…The proposed algorithm is applied to solve two practical business optimisation problems. …”
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Backtracking search algorithm for optimal power dispatch in power system / Mostafa Modiri Delshad by Mostafa, Modiri Delshad

“…In this thesis, the power dispatch problems with the aforementioned constraints and cost functions are considered. …”
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Economic and emission load dispatch solution via artificial bee colony algorithm by Abdullah, Mohd Noor, Ismail, Mohd Asyraf, Azmi, Azralmukmin, Mohammad Radzi, Hanis, Jamian, Jasrul Jamani

“…In this paper, the EELD problem is formulated as a single objective problem by taking minimization of total cost and emission level as separated objective. …”
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Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm by Muhamad Rozikin, Kamaluddin, M. F. F., Ab Rashid

“…Specific optimization model and algorithm were developed to solve the problem. This intensive effort aims to reduce logistics costs and number of vehicle usage. …”
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An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

“…The problem becomes complicated when there is practical constraints to be considered as well. …”
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Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints by M. H., Sulaiman

“…This paper presents a modified Firefly Algorithm (MFA) for solving economic dispatch (ED) problems. …”
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Simulated annealing algorithm for solving chambering student-case assignment problem by Ghazali, Saadiah, Abdul Rahman, Syariza

“…The problem related to project assignment problem is one of popular practical problem that appear nowadays. …”
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Solving optimal power flow problem with stochastic wind–solar–small hydro power using barnacles mating optimizer by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

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Solving Economic Dispatch Problems with Practical Constraints Utilizing Differential Search Algorithm by M. H., Sulaiman, Mohd Wazir, Mustafa

“…This paper presents a recent swarm intelligence technique namely Differential Search (DS) algorithm in solving Economic Dispatch (ED) problems with considering the practical constraints in power system. …”
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Finding minimum path by using Genetic Algorithm (GA)/ Siti Zuraifah Hashim by Hashim, Siti Zuraifah

“…Dijkstra's Algorithm is one of them. This approach solves the single-source shortest path problem with nonnegative edge weights. …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

“…Empirical validation using benchmark dataset and real-world data from three logistics companies in China demonstrates significant improvements in supply chain efficiency and cost reduction. When compared to the Supply Chain Guru X (SCGX) software, the proposed algorithms offer higher practical applicability.…”
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Solving multi-task optimization problems using the sine cosine algorithm by Kamal Z., Zamli, Kader, Md. Abdul

“…Optimization problems relate to the problem of finding minimum or maximum values from a large pools of solutions whereby exhaustive search is practically impossible. …”
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Solving the travelling salesman problem by using artificial bee colony algorithm / Noor Ainul Hayati Mohd Naziri by Mohd Naziri, Noor Ainul Hayati

“…In this study, the Artificial Bee Colony (ABC) algorithm was used to resolve the TSP. ABC algorithms is an optimisation technique that simulates the foraging behaviour of honey bees and has been successfully applied to various practical issues. …”
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Alternative method for economic dispatch utilizing grey wolf optimizer by Wong, Lo Ing

“…In addition, the flexibility of this algorithm is a merit to solve different problems by only setting few parameters such as number of population and number of iteration without any special changes in the structure of the 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.

“…We designed a hybrid version of the genetic algorithm with the local search algorithm to solve the proposed problem. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

“…This enhancement produces the filtering solution by using the second sub-algorithm. In addition, an improvement is made in the third sub-algorithm where the minimum output residual is combined with the cost function. …”
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Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari by Sari, Ahmad

“…This paper presents a Biogeography Based Optimization (BBO) for Economic Load Dispatch (ELD) problems. Using this method, the biological algorithm in optimization problem can be studied and the best minimum of total generation cost can be obtained. …”
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An Application of Differential Search Algorithm in Solving Non-Convex Economic Dispatch Problems with Valve-Point Effects by M. H., Sulaiman

“…This paper presents an application of Differential Search (DS) algorithm for solving non-convex economic dispatch (ED) problems with the valve loading effects. …”
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An application of barnacles mating optimizer for solving economic dispatch problems by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Omar, Aliman

“…This paper presents an application of a new nature-based optimization algorithm namely Barnacles Mating optimizer (BMO) to solve the well-known economic dispatch (ED) problem in power system operation. …”
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Solving the travelling salesman problem by using artificial bee colony algorithm / Siti Hafawati Jamaluddin ... [et al.] by Jamaluddin, Siti Hafawati, Mohd Naziri, Noor Ainul Hayati, Mahmud, Norwaziah, Muhammat Pazil, Nur Syuhada

“…Travelling Salesman Problem (TSP) is a list of cities that must visit all cities that start and end in the same city to find the minimum cost of time or distance. …”
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