max–min ant system (MMAS)
Brief Review of Max Min Ant System based Focussed Crawler
... Abstract: A focused crawler is Web crawler that traverses the Web to explore information that is related to a particular topic of interest only. This study, aims to find the Indian academicians webpages from foreign ...
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ROUTING PROBLEM FOR PARALLEL ROUTE BASED MAX- MIN ANT SYSTEM
... modified MAX-MIN Ant System (MMAS) algorithm to solve the routing problem, in which known demand are supplied from a store house with parallel routes for new local ...Improved Ant ...
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A Hybrid Model Of Max-Min Ant System with Genetic Algorithm For Improved To Travelling Salesman Problem
... is Ant System (AS) that explains and presents the search ...iterations. Ant Colony System (ACS) and Max-Min Ant System (MMAS) algorithms have been developed ...
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Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions
... This work introduces a modified MAX MIN Ant System (MMAS) designed to solve the Capacitated p- Medians Problem (CPMP). It presents the most relevant steps towards the implementation of an MMAS ...
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Parallel Implementation of the Max Min Ant System for the Travelling Salesman Problem on GPU
... Max min ant system [13][15]is the successor to the main ACO based algorithm ant ...the ant is allowed to update the pheromone content on the best so far tour or the best tour in ...
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(UCTP) A. Problem description
... the Max-Min Ant System with and without Hypercube framework, in addition the local search is included to increment the quality of the solutions in different ...
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Performance Evaluation of Min Min and Max Min Algorithms for Job Scheduling in Federated Cloud
... basic max-min ant system ...implementing max-min trail limit strategy and the early stagnation of search, appease contradiction between the convergent speed and searching scope ...
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Performance evaluation of Max-Min Ant System Algorithm for Robot Path Planning in Grid Environment
... These two components are interrelated and significantly influence one another in the process to determine a near optimal route for the robot to traverse in the workspace within a reasonable amount of time [5]. If the ...
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A Min Max Strategy to Aid Decision Making in a Bi Objective Discrete Optimization Problem Using an Improved Ant Colony Algorithm
... ratio min-max strategy to help a decision maker identify a best compromise solution in a bi-objective discrete optimization function and solved by the weighted sum method has been ...improved ant ...
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Survey on Ant Colony Optimization Using Travelling Salesman Problem
... the ant colony system (ACS), a distributed algorithm that is applied to the traveling salesman problem ...the Ant Colony Optimization (ACO) ...onclassical ant algorithm, a method for ...
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On the Cross-Entropic Regularization Method for Solving Min-Max Problems
... Both the two smoothing approximation functions have a natural interpretation which fits the special structure of the min-max problem and apply to related problems. The function (3) is also proposed by ...
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Stiffness-based Approach for Preliminary Design of Framed Tube Structures
... This section illustrates method’s application to preliminary design of a tube system. Efficiency of the proposed method is evaluated by adopting the example given by Kwan [4] as the reference point. From this ...
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Heuristic Algorithm for Min-max Vehicle Routing Problems
... In practice, there exists a type of problems, whose aim is not to demand the shortest distance or the cheapest expenditure of the whole route, but to demand the shortest distance or the shortest time of the longest sub ...
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The Semi inverse of Max-Min Product of Fuzzy Matrices
... We introduce the concept of sandwich set of two fuzzy matrices.By using the new concept of sandwich set, we provide a method for finding a semi inverse of max-min product of fuzzy matr[r] ...
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A min max theorem and its applications to nonconservative systems
... a max-min principle inspired by [5, 6], in Section 2 we generalize these unique existence results of system ...a min-max lemma to the periodic boundary value problem of the ...
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Survey of Fuzzy Min Max Neural Network and Variants
... Using a hybrid neural network, human action recognition is presented. The method consists of three stages consisting of pre-processing, feature extraction, and pattern classification. CNN is referred for feature ...
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Testing the fossil record: Sampling proxies and scaling in the British Triassic–Jurassic
... Here, we compare fossil diversity with a number of proxies representing different aspects of sampling in the well studied Triassic – Jurassic systems of Great Britain at well-constrained temporal and geo- graphical ...
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A memetic approach to the solution of constrained min-max problems
... constrained min-max prob- lems, M acM inM ax, presented in this paper, is here applied to the benchmark in TABLE I and TABLE III using the testing procedure explained in Algorithm 2 that is a generalisation ...
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Score-Based Max-Min Budget Constraint Workflow Scheduling Algorithm for Cloud System
... Here Max-Min scheduling algorithm has been designed with budget constraint ...based Max-Min scheduling algorithm has been compared with basic Max-Min scheduling algorithm with ...
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An Improved Min cost Max flow Network Coding Algorithm
... improved Min-cost Max-flow network coding algorithm to reduce resource consumption under the new principle of encoding node, which has been augmented until achieves the network maximum flow according to the ...
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