Searching for authors named "James Kelly" – sorted by Relevance.
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A Hybrid Genetic Algorithm for Classification
- In this paper we describe a method for hybridizing a genetic algorithm and a k nearest neighbors classification algorithm. We use the genetic algorithm and a training data set to learn real-valued weights associated with individual attributes in the data set. We use the k nearest neighbors algorithm
- Cited by 35 (0 self) – Add To MetaCart
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Recoil-Polarization Response Functions for Electroproduction of Pseudoscalar Mesons
- Introduction In this notebook I derive the recoil-polarization response functions for electroproduction of pseudoscalar mesons from nucleons. Although I and my former student, Thomas Payerle, have produced copious notes about the formalism, the algebra is quite complex and there are many sections o
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A Set-Partitioning-Based Heuristic For The Vehicle Routing Problem
- . We develop a generic tabu search heuristic for solving the well-known vehicle routing problem. This algorithm explores the advantages of simple local search and improvement heuristics as well as a complex meta-heuristic. The solutions generated by these heuristics are selected and assembled by a s
- Cited by 3 (0 self) – Add To MetaCart
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MineSet: An Integrated System for Data Mining
- MineSet TM , Silicon Graphics' interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It supports the knowledge discovery process from data access and preparation through iterative analysis and visualization to dep
- Cited by 47 (8 self) – Add To MetaCart
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A Network Flow-Based Tabu Search Heuristic For The Vehicle Routing Problem
- . We develop a new local search approach based on a network flow model that is used to simultaneously evaluate several customer ejection and insertion moves. We use this approach and a direct customer swap procedure to solve the well-known Vehicle Routing Problem. The capacity constraints are relaxe
- Cited by 14 (1 self) – Add To MetaCart
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ABSTRACT THE OPTQUEST APPROACH TO CRYSTAL BALL SIMULATION OPTIMIZATION
- The area of integrating simulation and optimization has recently undergone remarkable changes. New advances are making available applications of simulation that previously had been considered infeasible or beyond the scope of current technology to handle. This paper describes recently developed comp
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THE EXPLODING DOMAIN OF SIMULATION OPTIMIZATION 1. Background and Importance.
- The merging of optimization and simulation technologies has seen a remarkable growth in recent years. A Google search on “Simulation Optimization ” returns more than one hundred and thirty thousand pages where this phrase appears. The content of these pages ranges from articles, conference presentat
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-3700 Words
- This paper describes a Bayesian technique for unsupervised classification of data and its computer implementation, Autoclass. Given real valued or discrete data, AutoClass automatically determines the most probable num-ber of classes present in the data, the most probable descriptions of those class
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A study of diversification strategies for the quadratic assignment problem
- Scope and Purpose-Heuristic search procedures that aspire to find global optima usually require some type of diversification strategy in order to overcome their myopic perspective of the solution space. Traditionally, randomization has been used to accomplish this diversification. In this paper, we
- Cited by 5 (1 self) – Add To MetaCart
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User Manual for
- This manual describes the formalism and use of the program EPIPROD to compute observables and response functions for the electroproduction of pseudoscalar mesons upon nucleons. I.
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