Abstract Black-box optimization (BBO) algorithms are widely employed by practitioners to address computationally expensive real-world problems such as automatic tuning of machine learning models and evacuation route planning. The Nelder–Mead (NM) method is a well-known local search heuristic for BBO that has been applied solve many from way back because its promising performance. However, this ...

Pairwise comparison matrices play a prominent role in multiple-criteria decision-making, particularly the analytic hierarchy process (AHP). Another form of preference modeling, called an incomplete pairwise matrix, is considered when one or more elements are missing. In this paper, algorithm proposed for optimal completion matrix. Our intention to numerically minimize maximum eigenvalue functio...

Abstract Measurement data based on current and voltage of photovoltaic (PV) systems the establishment more accurate stable solar system models are typical significance for design, control, evaluation optimization PV systems. Accurate parameter needs to be efficient techniques achieve energy conversion from energy. Therefore, this paper proposes a novel technique enhanced colony predation algori...

This paper analyses the behaviour of the Nelder-Mead simplex method for a family of examples which cause the method to converge to a non-stationary point. All the examples use continuous functions of two variables. The family of functions contains strictly convex functions with up to three continuous derivatives. In all the examples the method repeatedly applies the inside contraction step with...