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local search algorithms

Local search algorithms based on benchmark test functions problem

Local search algorithms based on benchmark test functions problem

... the local search algorithms were indeed implemented in the ...SA algorithms, using an ensemble of expansively employed unimodal and multimodal standard benchmark ...optimization ...

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Performance Test of Local Search Algorithms Using New Types of

Performance Test of Local Search Algorithms Using New Types of

... other local search algorithms but its fur- ther improvement seems to be ...that local search generally works better for formulas of large clause/variable ...

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Local Search Algorithms for Vehicle Routing Problems of a Chain of Convenience Stores

Local Search Algorithms for Vehicle Routing Problems of a Chain of Convenience Stores

... Yuwadee Prakaiphetkul is a master’s degree student of Master Program in Engineering Technology. B.Sc. in Applied Statistics from King Mongkut’s Institute of Technology Ladkrabang,, Bangkok, Thailand. She works as MIS ...

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Efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem

Efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem

... The TSP-inspired neighborhoods is a large class of neighborhoods derived from TSP neighborhoods. We formalize the procedure of adaptation of a TSP neighborhood for the GTSP. Among other results, by proposing several new ...

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Exploiting run time distributions to compare sequential and parallel stochastic local search algorithms

Exploiting run time distributions to compare sequential and parallel stochastic local search algorithms

... different algorithms or strategies for solving a given problem and have been widely used as a tool for algorithm design and ...stochastic local search ...stochastic local search ...

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Stochastic Local Search Algorithms

Stochastic Local Search Algorithms

... Knowledge Representation Machine Learning Reasoning + Decision Theory + Robotics + Human Computer /Robot Interaction Natural Language Generation. Mix of knowledge represent[r] ...

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Local Search Algorithms for Portfolio Selection: Search Space and Correlation Analysis

Local Search Algorithms for Portfolio Selection: Search Space and Correlation Analysis

... When solving an optimisation problem, a sound modelling and development phase should be based on the separation between the model and the algorithm: this stems from constraint programming, and several tools foster this ...

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Iterated Local Search Algorithms for Bike Route Generation

Iterated Local Search Algorithms for Bike Route Generation

... Route planning for recreational cyclists poses a fundamentally different problem than traditional route planning problems because the shortest route is not necessarily the preferable cycling route. Recreational cyclists ...

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Accelerating local search algorithms for travelling salesman problem using gpu effectively

Accelerating local search algorithms for travelling salesman problem using gpu effectively

... 3-opt local search methods for the Travelling Salesman Problem (TSP) which are proposed by Rocki and Suda (2012, ...2-opt local search will compare every possible valid combination of the ...

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A study of Pareto and Two-Phase Local Search Algorithms for Biobjective Permutation Flowshop Scheduling

A study of Pareto and Two-Phase Local Search Algorithms for Biobjective Permutation Flowshop Scheduling

... SLS algorithms for the single-objective problems, assum- ing that using them as components of a higher-level general purpose algorithm framework can lead to a very effective algorithm to tackle their ...

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Local search algorithms for a single-machine scheduling problem with positive and negative time-lags

Local search algorithms for a single-machine scheduling problem with positive and negative time-lags

... the search space, the objective values, and the neighborhood, we can nowdescribe the main structure of the developed local search ...tabu search method, which will be embedded in an outer ...
Local Search Approximation Algorithms for Clustering Problems

Local Search Approximation Algorithms for Clustering Problems

... of local operations. A local operation transforms a given solu- tion s into a new feasible solution s 0 by usually performing simple changes such as adding, removing or swapping elements of s with some ...

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Local Search for Unsatisfiability

Local Search for Unsatisfiability

... Whereas local search on a SAT problem can prove satisfiability but not unsat- isfiability, local search on the meta-encoding can prove unsatisfiability but not ...standard local ...

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Hill-Climbing Search Simulated Annealing Search Local Beam Search Genetic Algorithms

Hill-Climbing Search Simulated Annealing Search Local Beam Search Genetic Algorithms

... a local maximum is a peak that is higher than each of its neighboring states, but lower than the global ...Hill-climbing algorithms that reach the vicinity of a local maximum will be drawn upwards ...

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Substructural local search in discrete estimation of distribution algorithms

Substructural local search in discrete estimation of distribution algorithms

... The tradeoff between model complexity and performance in BOA was also stud- ied by Correa and Shapiro [27]. They looked at the performance achieved by BOA as a function of a parameter that determines the maximum number ...

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Performance of Hybrid Genetic Algorithms Incorporating Local Search

Performance of Hybrid Genetic Algorithms Incorporating Local Search

... genetic algorithms is how the information gained during local search is used by the global ...performing local search (Whitley et ...performing local search, thereby ...

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Memetic algorithms with variable-depth search to overcome local optima

Memetic algorithms with variable-depth search to overcome local optima

... binary search spaces this means that if VDS flips some bit, then this bit cannot be flipped again during the run of ...of local moves. Iterated local search using VDS combines approaches from ...

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Search Algorithms

Search Algorithms

... Word Stemming is common form of language processing in most Information Retrieval (IR) systems. Word stemming is an important feature supported by present day indexing and search systems. In natural language ...

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The Gradient Free Directed Search Method as Local Search within Multi-objective Evolutionary Algorithms

The Gradient Free Directed Search Method as Local Search within Multi-objective Evolutionary Algorithms

... Directed Search Method, a point-wise iterative search procedure that allows to steer the search into any direction given in objective space of a given ...oriented search procedures such as ...

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Chapter Objectives. Chapter 9. Sequential Search. Search Algorithms. Search Algorithms. Binary Search

Chapter Objectives. Chapter 9. Sequential Search. Search Algorithms. Search Algorithms. Binary Search

... If SRH(n) denotes the minimum number of comparisons needed, in the worst case, by using a comparison-based algorithm to recognize whether an element x is in L, then SRH(n) = log 2 (n[r] ...

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