With the rapid development of drone technology, logistics giants like Amazon and SF
Express have applied drones to parcel delivery. Drone delivery could eliminate delivery …

A new variant of the two-echelon routing problem is investigated, where the truck and the
drone are used to cooperatively complete the deliveries of all parcels. The truck not only acts …

In this paper the performance of the most recent multi-modal genetic algorithms (MMGAs) on
the Job Shop Scheduling Problem (JSSP) is compared in term of efficacy, multi-solution …

A simulated annealing (SA) algorithm to minimize the makespan on a group of identical
batch processing machines arranged in parallel is presented. We consider the case where …

Different Earth observation resources (EORs)[eg, satellites, airships, and unmanned aerial
vehicles (UAVs)] are usually managed by different organization sub-planners, which lack …

This paper addresses the planning and optimization of intermodal hub-and-spoke (IH&S)
network considering mixed uncertainties in both transportation cost and travel time. Different …

A metaheuristic is conventionally described as an iterative generation process which guides
a servient heuristic by combining intelligently different concepts for exploring and exploiting …

Efficient scheduling is significant for the effective use of scarce satellite resources. Task
clustering has been demonstrated as an effective strategy for improving the efficiency of …

A hybrid simulated annealing algorithm based on a novel immune mechanism is proposed
for the job shop scheduling problem with the objective of minimizing total weighted …

In this paper, mathematical models for permutation flow shop scheduling and job shop
scheduling problems are proposed. The first problem is based on a mixed integer …