Abstract Fitness landscape analysis for optimisation is a technique that involves analysing black-box problems to extract pieces of information about the problem, which can beneficially inform design optimiser. Thus, algorithm aims address specific features detected during problem. Similarly, designer understand behaviour algorithm, even though problem unknown and performed via metaheuristic me...

The landmark Grover algorithm for amplitude amplification serves as an essential subroutine in various type of quantum algorithms, with guaranteed speedup query complexity. However, there have been no proposal to realize the original motivating application algorithm, i.e., database search or more broadly pattern matching a practical setting, mainly due technical difficulty efficiently implement...

Abstract Pattern Search is a family of gradient-free direct search methods for numerical optimisation problems. The characterising feature pattern the use multiple directions spanning problem domain to sample new candidate solutions. These compose matrix potential moves, that pattern. Although some fundamental studies theoretically indicate various can be used, selection remains an unaddressed ...