Search Results - (( problem using genetic algorithm ) OR ( java simulation optimization algorithm ))
Search alternatives:
-
1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Offloading heavy data size to a remote node introduces the problem of additional delay due to transmission. Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
Get full text
Get full text
Article -
2
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. …”
Get full text
Get full text
Thesis -
3
Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
Get full text
Get full text
Undergraduates Project Papers -
4
Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Meta-heuristic algorithms are mostly used to solve this problem. For example, Genetic Algorithm with Particle Swarm Optimization, Genetic Algorithm with Artificial Bee Colony Algorithms (ABC) and Genetic Algorithm with Ant Colony Optimization Algorithms. …”
Get full text
Get full text
Get full text
Academic Exercise -
5
A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling
Published 2013“…In addition, the design of course timetables for universities is a very difficult task because it is a non-deterministic polynomial, (NP) hard problem. This problem can be minimized by using a Micro Genetic Algorithm approach. …”
Get full text
Get full text
Get full text
Thesis -
6
Comparison between ant colony and genetic algorithm using traveling salesman problem
Published 2013“…The aim of this study is compare the effect of using two distributed algorithm which are ant colony as a Swarm intelligence algorithm and genetic algorithm. …”
Get full text
Get full text
Get full text
Article -
7
Solving transcendental equation using genetic algorithm / Masitah Hambari
Published 2004“…This project studies the potential of using Genetic Algorithm and develops a program in order to solve Transcendental Equation in optimizing problem domain. …”
Get full text
Get full text
Thesis -
8
-
9
-
10
Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The integrated algorithms use two genetic representations for the individual solution entire sub-chromosomes. …”
Get full text
Get full text
Thesis -
11
An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…In order to obtain feasible solution which does not violate precedence constraints, a route repair based topological sort technique is used and integrated in the genetic algorithm procedure. …”
Get full text
Get full text
Get full text
Article -
12
Vehicle routing problem using genetic algorithm / Shamini Nagaratnam
Published 2006“…This dissertation studies and explores the potential of using Genetic Algorithms to find the shortest path in Vehicle Routing Problem. …”
Get full text
Get full text
Get full text
Thesis -
13
Comparison between Genetic Algorithm and Prey-Predator Algorithm.
“…The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. …”
Get full text
Monograph -
14
A fuzzy genetic algorithm based on binary encoding for solving multidimensional knapsack problems
Published 2012“…The fundamental problem in genetic algorithms is premature convergence, and it is strongly related to the loss of genetic diversity of the population. …”
Get full text
Get full text
Article -
15
Genetic-local hybrid optimizer for solving advance layout problem
Published 2006“…Results are achieved through the use of local optimizer, separation algorithm with genetic algorithm also called hybrid simple genetic. …”
Get full text
Get full text
Get full text
Article -
16
Travelling salesman problem using genetic algorithm / Muhammad Faiz Wafiq Mohd Zaini, Nurin Hannani Mohd Bakhary and Nur Aishah Zakaria
Published 2022“…The method that use in this research is Genetic Algorithm. The first round this research use two Genetic Algorithms’ operator which are crossover and inversion operator. …”
Get full text
Get full text
Student Project -
17
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
Get full text
Get full text
Thesis -
18
Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…This study presented an intelligence based genetic algorithm approach to optimize the considered problem objectives through reducing the problem complexity. …”
Get full text
Get full text
Get full text
Article -
19
Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…This project focuses on step-up cluster computing and a parallel Genetic Algorithm. The objectives of this project to set-up Beowulf cluster computer to apply the Travelling Salesman Problem in parallel by using Genetic Algorithms and evaluate sequential algorithms and parallel algorithms by Genetic Algorithms. …”
Get full text
Get full text
Thesis -
20
Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows
Published 2017“…This paper presents a stochastic partially optimized cyclic shift crossover operator for the optimization of the multi-objective vehicle routing problem with time windows using genetic algorithms. …”
Get full text
Get full text
Article