Alex S. Fukunaga, Ph.D.
Affiliations: | 2005 | University of California, Los Angeles, Los Angeles, CA |
Area:
artificial intelligence, including problem-solving, heuristic search, planning and parallel processingGoogle:
"Alex Fukunaga"Parents
Sign in to add mentorRichard Korf | grad student | 2005 | UCLA | |
(Bin completion algorithms for packing and knapsack problems.) |
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Publications
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Tanabe R, Fukunaga A. (2019) Reviewing and Benchmarking Parameter Control Methods in Differential Evolution. Ieee Transactions On Cybernetics |
Asai M, Fukunaga A. (2017) Tie-Breaking Strategies for Cost-Optimal Best First Search Journal of Artificial Intelligence Research. 58: 67-121 |
Jinnai Y, Fukunaga A. (2017) On Hash-Based Work Distribution Methods for Parallel Best-First Search Journal of Artificial Intelligence Research. 60: 491-548 |
Imai T, Fukunaga A. (2015) On a practical, integer-linear programming model for delete-free tasks and its use as a heuristic for cost-optimal planning Journal of Artificial Intelligence Research. 54: 631-677 |
Kishimoto A, Fukunaga A, Botea A. (2013) Evaluation of a simple, scalable, parallel best-first search strategy Artificial Intelligence. 195: 222-248 |
Fukunaga AS. (2011) A branch-and-bound algorithm for hard multiple knapsack problems Annals of Operations Research. 184: 97-119 |
Fukunaga AS, Tazoe S. (2009) Combining multiple representations in a genetic algorithm for the multiple knapsack problem 2009 Ieee Congress On Evolutionary Computation, Cec 2009. 2423-2430 |
Fukunaga AS. (2009) Massively parallel evolution of SAT heuristics 2009 Ieee Congress On Evolutionary Computation, Cec 2009. 1478-1485 |
Fukunaga AS. (2009) Search spaces for min-perturbation repair Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5732: 383-390 |
Fukunaga AS. (2008) Automated discovery of local search heuristics for satisfiability testing. Evolutionary Computation. 16: 31-61 |