This study proposes a new nature-inspired metaheuristic that mimics the behaviour of the
prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …

This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm
(IDMO) for constrained engineering design problems. This optimization technique modifies …

In this paper, a new metaheuristic optimization algorithm, called social network search
(SNS), is employed for solving mixed continuous/discrete engineering optimization …

Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

Abstract In this paper, Special Relativity Search (SRS) is developed for solving engineering
problems. The interaction of particles in a magnetic field is considered as an optimizer …

Several metaheuristic methods have been applied to tackling various global and
engineering optimization problems. However, this method still needs more improvement …

Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …

In the highly complex dynamic environment, the path optimization of the algorithm becomes
the key to improve the efficiency of indoor mobile robots. Whale optimization algorithm …

In this paper, a white-Box support vector machine (SVM) framework and its swarm-based
optimization is presented for supervision of toothed milling cutter through characterization of …

The contrive principle of the adaptive infinite impulse response (IIR) filter is to find the filter
parameters based on the error function, thus obtaining the best model of the unbeknown …