Browsing by Author "Misir, Mustafa"
Now showing items 1-6 of 6
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Active matrix completion for algorithm selection
Misir, Mustafa (Springer, 2019)The present work accommodates active matrix completion to generate cheap and informative incomplete algorithm selection datasets. Algorithm selection is being used to detect the best possible algorithm(s) for a given problem ... -
Algorithm selection for the team orienteering problem
Misir, Mustafa; Gunawan, Aldy; Vansteenwegen, Pieter (SPRINGER-VERLAG BERLIN, 2022)This work utilizes Algorithm Selection for solving the Team Orienteering Problem (TOP). The TOP is an NP-hard combinatorial optimization problem in the routing domain. This problem has been modelled with various extensions ... -
Algorithm selection on adaptive operator selection : a case study on genetic algorithms
Misir, Mustafa (Springer Science and Business Media Deutschland GmbH, 2021)The present study applies Algorithm Selection (AS) to Adaptive Operator Selection (AOS) for further improving the performance of the AOS methods. AOS aims at delivering high performance in solving a given problem through ... -
Benchmark set reduction for cheap empirical algorithmic studies
Misir, Mustafa (IEEE, 2021)The present paper introduces a benchmark set reduction strategy that can degrade the experimental evaluation cost for the algorithmic studies. Algorithm design is an iterative development process within in a test-revise ... -
A bi-objective constrained robust gate assignment problem: formulation, instances and algorithm
Cai, Xinye; Sun, Wenxue; Misir, Mustafa; Tan, Kay Chen; Li, Xiaoping; Xu, Tao; Fan, Zhun (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021)The gate assignment problem (GAP) aims at assigning gates to aircraft considering operational efficiency of airport and satisfaction of passengers. Unlike the existing works, we model the GAP as a bi-objective constrained ... -
Hyper-heuristics: autonomous problem solvers
Misir, Mustafa (Springer Science and Business Media Deutschland GmbH, 2021)Algorithm design is a general task for any problem-solving scenario. For Search and Optimization, this task becomes rather challenging due to the immense algorithm design space. Those existing design options are usually ...
