Top PDF Alternative Method for Solving Traveling Salesman Problem by Evolutionary Algorithm
Alternative Method for Solving Traveling Salesman Problem by Evolutionary Algorithm
... solutions by swapping parts of a solution with ..."mutated" by making a small change to a single element of the ...(GA), Evolutionary Programming (EP), Evolutionary Strategy (ES), ...
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A HIGH PERFORMANCE ALGORITHM FOR SOLVING LARGE SCALE TRAVELLING SALESMAN PROBLEM USING DISTRIBUTED MEMORY ARCHITECTURES
... search algorithm which provides a method of searching which does not need to explore every possible solution in the feasible region to obtain a good ...a problem by first ’guessing’ solutions ...
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Enhanced differential evolution algorithm for solving reactive power problem
... efficient evolutionary computing techniques that seem to be effective to handle optimization problems in many practical ...(EDE) algorithm by integrating excited arbitrary confined search (EACS) to ...
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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls
... Routing Problem (VRP) in terms of their objectives, their characteristics and the types of proposed algorithms to solve ...multi-objective evolutionary algorithms was proposed by Zhou et ...
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An imperialist competitive algorithm for solving the production scheduling problem in open pit mine
... competitive algorithm (ICA) Imperialist competitive algorithm (ICA) is a new population-based meta-heuristic algorithm proposed by Atashpaz-Gargari and Lucas (2007), inspired from the ...
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Solving the Travelling Salesman Problem Using the Ant Colony Optimization
... for solving a concrete type of problem, but they describe general algorithm in that, they show only the way, how to apply some procedures to become solution of the ...descriptively, by ...
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Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach
... and-bound algorithm, named after the work of [20], has become the most commonly used tool for solving NP-hard optimization ...branch-and-bound method consists of a systematic enumeration of candidate ...
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SOLUTION OF TRAVELING SALESMAN PROBLEM ON SCX BASED SELECTION WITH PERFORMANCE ANALYSIS USING GENETIC ALGORITHM
... guided by the principal of natural genetic system and natural evolution ...applied by a GA to a problem by first ‘guessing’ the possible solutions of the related problem and then ...
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Improving the Solution of Traveling Salesman Problem Using Genetic, Memetic Algorithm and Edge assembly Crossover
... proposed by Nagata and Kobayashi in ...edges by applying a greedy method, analogous to a minimal spanning ...greedy method to merge these distinct sub tours ...
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136 MINIMIZING THE PREPARATION TIME OF A TUBES MACHINE: EXACT SOLUTION AND HEURISTICS
... Generalized Traveling Salesman Problem in programming pro- cesses of machines in industries, postal routing and layout of ...Generalized Traveling Salesman Problem and their ...
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Parallelization Of Traveling Salesman Problem Using Rocks Cluster
... Abstract—The Traveling Salesman Problem (TSP) is a well known Nondeterministic Polynomial (NP) ...an alternative way of solving TSP with parallelism by modifying Prim’s ...
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The Multi-commodity One-to-one Pickup-and-delivery Traveling Salesman Problem with Path Duration Limits
... the problem cost structure and includes consideration of repositioning empty ...design problem considered by Agarwal and Ergun [1] generate multiple services and handles transhipments, a bender’s and ...
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Abstract: This work presents an algorithm for solving exactly a scheduling problem with identical
... Adding new constraints to the master problem modifies its structure. For the subproblem to identify new attractive columns for the modified master problem, those modifications must be accounted for in the ...
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AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS
... algorithm. A set of eligible channels E(k) is determined in order to assign a possible channel upon a new call requests in cell k. In this case E(k) = S – (O(k) P(k)), where S is the entire set of available ...
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An Effective Implementation of the Lin-Kernighan Traveling Salesman Heuristic
... the algorithm considers a growing set of potential exchanges (starting with r = ...Lin-Kernighan algorithm belongs to the class of so-called local optimiza- tion algorithms [17, ...The algorithm is ...
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A Rough Sets based modified Scatter Search algorithm for solving 0-1 Knapsack problem
... Knapsack Problem (0-1 KP) is a special case of general 0-1 linear problem in which the allocation of items to a knapsack is ...knapsack problem and proved that the complexity of this problem ...
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Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals
... To remove or reduce noise and effects from other unexpected sources and further enhance signal components of interest, a reconstruction approach is used to filter and assemble the frequency components to reconstruct ...
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A Computational Analysis of the Traveling Salesman and Cutting Stock Problems
... The aim of this article is to perform a computational study to analyze the impact of formulations, and the solution strategy on the algorithmic performance of two clas- sical optimization problems: the traveling ...
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A STUDY ON CERTAIN NEW NUMERICAL ALGORITHMS FOR MINIMIZATION OF NON LINEAR FUNCTIONS
... Optimization problems with or without constraints arise in various fields such as science, engineering, economics, management sciences, etc., where numerical information is processed. In recent times, many problems in ...
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Hamiltonian cycle and TSP: A backtracking approach
... in algorithm later, we consider the vertex first which come in the matrix notation ...the algorithm complexity by adding the logic, to start the tour from the vertex which has out-degree is ...the ...
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