Abstract Designing urban transportation networks is a technological and social reality defined as decentralized polynomial NP-Hard problem. In order to efficiently resolve this issue, several nature-inspired metaheuristic approaches have been proposed. Although these methods are crucial resolving network challenges, no comprehensive study has conducted address concerns. Thus, provides an in-dep...

Digital platforms have begun to rely more on algorithms perform basic tasks such as pricing. These must set prices that coordinate two or sides need each other in some way (e.g., developers and users buyers sellers). Therefore, it is essential form correct expectations about how both behave. The purpose of this paper was study the effect different levels information biology-inspired metaheurist...

In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method. Getting optimal network coverage is one of those challenging that need be examined critically before any setup. Optimal not only minimizes consumption energy battery-driven sensors but also reduce sensing redundant info...

Abstract The article reviewed the four major Bioinspired intelligent algorithms for agricultural applications, namely ecological, swarm-intelligence-based, ecology-based, and multi-objective algorithms. key emphasis was placed on variants of swarm intelligence algorithms, artificial bee colony (ABC), genetic algorithm, flower pollination algorithm (FPA), particle swarm, ant colony, firefly fish...

Abstract In the last decades, classical Vehicle Routing Problem (VRP), i.e., assigning a set of orders to vehicles and planning their routes has been intensively researched. As only assignment order is already an NP-complete problem, application these algorithms in practice often fails take into account constraints restrictions that apply real-world applications, so called rich VRP (rVRP) are l...