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tabu search optimization technique

Grid Process Scheduling Optimization using the Tabu Search

Grid Process Scheduling Optimization using the Tabu Search

... Ant Colony Optimization (ACO) is an optimization technique inspired in the behavior of ants in colonies [8]. When searching for food, ants wander randomly while laying down pheromone. Once the food ...

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Tabu Search Energy Optimization of Optical Grid Networks

Tabu Search Energy Optimization of Optical Grid Networks

... optical technique in which optical signals of different wavelengths are combined onto a single strand of the optical fiber at the one end and then separated again at the other end of the fiber, this is achieved ...

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A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search

A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search

... The other way to reduce the dimensionality of the feature space is by using feature selection methods. The term feature selection refers to algorithms that select the best subset of the input feature set. These ...

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Solving Asymmetric Travelling Salesman Problem using Memetic Algorithm

Solving Asymmetric Travelling Salesman Problem using Memetic Algorithm

... combinatorial optimization studied in theory based computer science and operation research ...Various optimization methods exist to solve TSP such as simulated annealing, tabu search, ant ...

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Optimization Of Channel Assignment In Mobile Communication Using Tabu Search

Optimization Of Channel Assignment In Mobile Communication Using Tabu Search

... Channel assignment in this project targets the application of mobile communication where calls are being made through channels in a cell. The model used is a Static Channel Assignment (SCA) where channels are assigned ...

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Test Cost Optimization Using Tabu Search

Test Cost Optimization Using Tabu Search

... Furthermore, we have also introduced the concept of backtracking to distinguish those solutions that trapped us towards local minima. We tried to cover the uncovered nodes and the conditions in the program .The system ...

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A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem

A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem

... combinatorial optimization problem with a wide variety of ...Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of ...

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Hybrid Bacterial Foraging Optimization – Tabu Search for Medical Image Classification

Hybrid Bacterial Foraging Optimization – Tabu Search for Medical Image Classification

... The FURIA is another accurate soft showing computation that has been persuading in general affirmation to be very exact. The conspicuousness of FURIA has been getting to be over the span of the latest couple of years has ...

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Online Full Text

Online Full Text

... combinatorial optimization problem such as the traveling salesman problem (TSP), the quadratic assignment problem, the vehicle routing problem, and the job-shop scheduling ...Colony Optimization (ACO), ...

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Cost Optimization of Underwater Wireless Sensor Network using Conventional Method and Fuzzy Inference System

Cost Optimization of Underwater Wireless Sensor Network using Conventional Method and Fuzzy Inference System

... Tabu Search is a Global Optimization algorithm and a Metaheuristic or Meta-strategy for controlling an embedded heuristic ...technique. Tabu Search is a parent for a large family ...

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Meta Heuristics approach for a Class of supply
chain optimization problems  D.Sabareswari, N.Sathya, K.Sharmila Abstract PDF  IJIRMET160207006

Meta Heuristics approach for a Class of supply chain optimization problems D.Sabareswari, N.Sathya, K.Sharmila Abstract PDF IJIRMET160207006

... mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find ...

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SOLVING ECONOMIC LOAD DISPATCH PROBLEM WITH VALVE POINT LOADINF EFFECT USING WHALE OPTIMIZATION ALGORITHM INTEGRAT-ED WITH LOACAL SEARCH DETERMINISTIC TECHNIQUES

SOLVING ECONOMIC LOAD DISPATCH PROBLEM WITH VALVE POINT LOADINF EFFECT USING WHALE OPTIMIZATION ALGORITHM INTEGRAT-ED WITH LOACAL SEARCH DETERMINISTIC TECHNIQUES

... Whale Optimization Algorithm has been applied to solve the complex problem of Economic Load Dispatch for reducing the price of fuel for electrical power ...Different optimization problems are used for ...

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Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem

Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem

... methods: tabu research and Artificial Neural Networks (ANN-TS) and this in order to have an optimal solution that solves the problem of planning power with a minimum of total production cost with respecting all ...

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SOLVING COMPLEX COMBINATORIAL PROBLEM USING TABU SEARCH

SOLVING COMPLEX COMBINATORIAL PROBLEM USING TABU SEARCH

... DED( dynamic constrained economic dispatch) is one of the main functions of power system. The concept is to operate an electronic power system more economically.[3] To solve this problem, the authors sugessed a Modified ...

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Use of Evolutionary Techniques for Symbolic Execution Based Testing

Use of Evolutionary Techniques for Symbolic Execution Based Testing

... This technique of testing is also termed testing to specifications, data-driven, functional or input/output-driven ...making technique computationally ...testing technique which is less used is ...

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A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

... Evolutionary algorithms, such as genetic algorithm (GA), are an effective type of meta-heuristic methods. Zhang et al. [11] proposed a bi-level GA in an attempt to keep the advantages of preceding generations and reduce ...

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Cuckoo Search based Hybrid Classification Techniques

Cuckoo Search based Hybrid Classification Techniques

... various optimization techniques like ACO (Ant Colony Optimization) and some others which are used to provide optimized parameters to classify ...Cuckoo search is an optimization ...

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Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review

Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review

... a technique to distribute workload evenly across two or more computers, network links, CPU’s or other resources in order to get optimal resource utilization, maximum throughput, minimum response time, minimum ...

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Global optimization techniques, specifically simulated annealing, genetic algorithms, and tabu search

Global optimization techniques, specifically simulated annealing, genetic algorithms, and tabu search

... appear more frequently in the population, eventually leading to convergence to an overall good solution. The mutation operator introduces random changes into characteristics of chromosomes. Mutation reintroduces genetic ...

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A Comprehensive Study of Artificial Bee Colony (ABC) Algorithms and its Applications

A Comprehensive Study of Artificial Bee Colony (ABC) Algorithms and its Applications

... solve optimization of mathematical test functions with a unique neighborhood search ...neighborhood search heuristics adopted by the employed and onlooker bees ...discrete optimization ...

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