Abstract The Reptile Search Algorithm (RSA), inspired by crocodiles' hunting behavior, is a
recently introduced nature-inspired algorithm. Although the original version of the RSA …

In this paper, we present some initial results of several meta-heuristic optimization
algorithms, namely, genetic algorithms, simulated annealing, branch and bound, dynamic …

Feature selection (FS) and classification are consecutive artificial intelligence (AI) methods
used in data analysis, pattern classification, data mining and medical informatics. Beside …

Ultrasonic welding has been used in the market over the past twenty years and serving to
the manufacturing industries like aviation, medical, microelectronics and many more due to …

This paper investigates a wireless blockchain network with mobile edge computing in which
Internet of Things (IoT) devices can behave as blockchain users (BUs). This blockchain …

The set-union knapsack problem (SUKP) is a generalization of the standard 0–1 knapsack
problem. It is NP-hard, and has several industrial applications. Several approximation and …

Moth search (MS) algorithm, originally proposed to solve continuous optimization problems,
is a novel bio-inspired metaheuristic algorithm. At present, there seems to be little concern …

Purpose In today's highly competitive business environment, the main approach of all
businesses is to optimally provide customers' requirements and gain their satisfaction and …

This study analyzes a two-level sustainable supply chain model using the meta-heuristic
evolutionary algorithm. Defective items are exposed due to malfunctions in the equipment …

The knapsack problem (KP) is a discrete combinatorial optimization problem that has
different utilities in many fields. It is described as a non-polynomial time (NP) problem and …