Due to many damages that human activities have imposed on the environment, authorities, manufacturers, and industry owners have taken into account the development of supply chain more than ever. One of the most influential and essential human activities in the supply chain are transportation which green vehicles such as electric vehicles (EVs) are expected to generate higher economic and enviro...

The rapid increase in urbanization results an the volume of municipal solid waste produced every day, causing overflow garbage cans and thus distorting city’s appearance; for this environmental reasons, smart cities involve use modern technologies intelligent efficient management. Smart bins urban environments contain sensors that measure status containers real-time trigger wireless alarms if c...

Autonomous mobile robots (AMRs) are being used extensively in civilian and military applications for such as underground mining, nuclear plant operations, planetary exploration, intelligence, surveillance reconnaissance (ISR) missions manned-unmanned teaming. We consider a multi-objective, multiple-vehicle routing problem which teams of manned ground vehicles (MGVs) AMRs deployed respectively l...

Given the emergence of two-echelon distribution systems in several practical contexts, this paper tackles, at strategic level, a network design problem under uncertainty. This is defined as stochastic multi-period capacitated location-routing (2E-SM-CLRP). It considers partitioned into two echelons: each echelon involves specific location-assignment-transportation schema that must cope with fut...

This paper focuses on the combined maintenance and routing optimisation problem in a multi-period environment that consists of scheduling operations for set geographically distributed machines, subject to non-deterministic failures with technicians perform preventive corrective operations. study uses two-step approach based column generation. The first step model determines optimal time until n...

| In this paper we present an Evolutionary Algorithm (EA) for Detailed Routing Problems (DRPs), like the Channel Routing Problem and the Switchbox Routing Problem. We combine EAs with domain speciic knowledge, i.e. the genetic operators make use of the rip-up and reroute technique. The algorithm can work with two-layer and multi-layer problem instances. The eeciency of our algorithm is demonstr...