Automated design of search algorithms: Learning on algorithmic components
Abstract
This paper proposes AutoGCOP, a new general framework for automated design of local search algorithms. In a recently established General Combinatorial Optimisation Problem (GCOP) model, the problem of algorithm design itself is defined as a combinatorial optimisation problem. AutoGCOP defines a general framework to optimise the composition of elementary algorithmic components as decision variables in GCOP. By modelling various well-known local...
Paper Details
Title
Automated design of search algorithms: Learning on algorithmic components
Published Date
Dec 1, 2021
Volume
185
Pages
115493 - 115493
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