GPU computing in discrete optimization. Part II: Survey focused on routing problems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{SCHULZ2013159,

• author = "Christian Schulz and Geir Hasle and Andre R. Brodtkorb and Trond R. Hagen",
• title = "GPU computing in discrete optimization. Part II: Survey focused on routing problems",
• journal = "EURO Journal on Transportation and Logistics",
• year = "2013",
• volume = "2",
• number = "1-2",
• pages = "159--186",
• month = may,
• keywords = "genetic algorithms, genetic programming, Discrete optimization, Parallel computing, Heterogeneous computing, GPU, Survey, Introduction, Tutorial, Transportation, Travelling salesman problem, Vehicle routing problem",
• ISSN = "2192-4376",
• URL = "https://www.sciencedirect.com/science/article/pii/S2192437620600279",
• DOI = "doi:10.1007/s13676-013-0026-0",
• abstract = "In many cases there is still a large gap between the performance of current optimization technology and the requirements of real-world applications. As in the past, performance will improve through a combination of more powerful solution methods and a general performance increase of computers. These factors are not independent. Due to physical limits, hardware development no longer results in higher speed for sequential algorithms, but rather in increased parallelism. Modern commodity PCs include a multi-core CPU and at least one GPU, providing a low-cost, easily accessible heterogeneous environment for high-performance computing. New solution methods that combine task parallelization and stream processing are needed to fully exploit modern computer architectures and profit from future hardware developments. This paper is the second in a series of two. Part I gives a tutorial style introduction to modern PC architectures and GPU programming. Part II gives a broad survey of the literature on parallel computing in discrete optimization targeted at modern PCs, with special focus on routing problems. We assume that the reader is familiar with GPU programming, and refer the interested reader to Part I. We conclude with lessons learnt, directions for future research, and prospects.",
• notes = "Survey: so some mentions of GP",

}

Genetic Programming entries for Christian Schulz Geir Hasle Andre R Brodtkorb Trond R Hagen

Citations