Search Results - (( making process solving algorithm ) OR ( java simulation optimization algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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3
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
4
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Analytic Hierarchy Process Decision Making Algorithm
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Hybridizing guided genetic algorithm and single-based metaheuristics to solve unrelated parallel machine scheduling problem with scarce resources
Published 2023“…Genetic algorithm shows promising results in solving UPMR. …”
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7
Cognitive processes in problem solving: bridging the intersection of cognition and management science problems
Published 2011“…Using Malaysian undergraduate business students as a case study, the second part of this paper is to propose a 7-step problem solving algorithmic model in a an attempt to improve the cognitive processes of students in solving MS problems and the quality of decision making.…”
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8
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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9
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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10
An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
Published 2014“…In this study, an optimization algorithm based on Gravitational Search Algorithm is proposed for solving route optimization in holes drilling process. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
12
Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…The developed method also demonstrated the effectiveness of the multi-criteria decision-making process when compared with the multi-objective evolutionary algorithm (MOEA). …”
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13
Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim
Published 2025“…This method involves guessing initial conditions and iteratively adjusting them until the solution satisfies the boundary conditions at the other end of the domain. Root-finding algorithms are important in this process since they help to solve the nonlinear equations that result from the mismatch between the computed and desired boundary conditions. …”
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14
Optimization of mycelium growth using genetic algorithm for multi-objective functions
Published 2019“…Trade-off between the objectives, exist for the optimization process. To solve this issues, multi-objective genetic algorithm was chosen as the methodology for this project, specifically using NSGA-ii algorithm. …”
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Undergraduates Project Papers -
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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16
Signal Noise Removal using Concurrent Algorithm
Published 2008“…This research is in the early phase to solve the problem of how to develop a signal noise removal process using concurrent algorithm. …”
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Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms
Published 2024“…Several attempts have been carried out to solve the optimization problem involved in the EDM process. …”
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Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…Bitwise operations make this algorithm run very fast. The algorithm constructed by the researcher is a modification of Komosko, etc.’s algorithm in 2015 and it is the key result of this research. …”
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Investigating the cognitive processes in solving management science problems
Published 2010“…Arising from the findings, an algorithm has been proposed in an attempt to improve the cognitive processes of students in solving MS/OR problems as well as the quality of decision making. …”
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An adjustable approach to multi-criteria group decision-making based on a preference relationship under fuzzy soft information
Published 2017“…In this regard, fuzzy soft model can be considered as an efficient tool in decision-making. To date, different algorithms have been proposed for solving collective decision-making problems based on fuzzy soft set theory. …”
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