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An application programming interface with increased performance for optimisation problems data

Journal of Management Analytics 2016年第4期3卷 305-332页

作者： Rodrigo Lankaites Pinheiro Dario Landa-Silva Rong Qu Ademir Aparecido Constantino Edson Yanaga ASAP research Group School of Computer ScienceUniversity of NottinghamNottinghamUK Departamento de Informática Universidade Estadual de MaringáMaringáBrazil Unicesumar-Centro Universitário Cesumar MaringáBrazil

An optimisation problem can have many forms and *** may consider different objectives,constraints,and *** that reason,providing a general application programming interface(API)to handle the problem data efficiently in all scenarios is ***,on an R&D environment involving personnel from distinct backgrounds,having such an API can help with the development process because the team can focus on the research instead of implementations of data parsing,objective function calculation,and data ***,some researchers might have a stronger background in programming than others,hence having a standard efficient API to handle the problem data improves reliability and *** paper presents a design methodology to enable the development of efficient APIs to handle optimisation problems data based on a data-centric development *** proposed methodology involves the design of a data parser to handle the problem definition and data files and on a set of efficient data structures to hold the data in ***,we bring three design patterns aimed to improve the performance of the API and techniques to improve the memory access by the user ***,we present the concepts of a Solution Builder that can manage solutions objects in memory better than built-in garbage collectors and provide an integrated objective function so that researchers can easily compare solutions from different solving ***,we describe the positive results of employing a tailored API to a project involving the development of optimisation solutions for workforce scheduling and routing problems.

关键词： optimisation problems data API efficient data structures research and development projects

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