In the past few decades, a detailed and extensive research has been carried out on K-
Means combine with genetic algorithm for clustering of using this combine technique; to …

Abstract Vehicular Ad Hoc Network (VANET) is an emerging new technology and a
promising approach for Intelligent Transportation Systems (ITS) domain. Many researchers …

Hyperparameter tuning is a critical function necessary for the effective deployment of most
machine learning (ML) algorithms. It is used to find the optimal hyperparameter settings of …

Reconfigurable robots have received broad research interest due to the high dexterity they
provide and the complex actions they could perform. Robots with reconfigurability are …

As an intelligent search optimization technique, genetic algorithm (GA) is an important
approach for non-deterministic polynomial (NP-hard) and complex nature optimization …

Efficient routing algorithms are essential to guarantee reliable communication in Vehicular
Adhoc Networks (VANETs). In this paper, we present a twofold approach entailing the …

The vehicular ad hoc network (VANET) has traditional routing protocols that evolved from
mobile ad hoc networks (MANET). The standard routing protocols of VANET are geocast …

Integration of project scheduling (PS) with materials ordering has received greater attention
in the last three decades as an approach to ensure the profitability of a project. The …

The resource constrained project scheduling problem with discounted cash flows
(RCPSPDC) is one of the most challenging problems owing to its NP-hard characteristics …

Genetic algorithms (GAs) are stochastic‐based heuristic search techniques that incorporate
three primary operators: selection, crossover, and mutation. These operators are supportive …