Increasing environmental, legislative, and social concerns are forcing companies to take a
fresh view of the impact of supply chain operations on environment and society when …

Metaheuristics are algorithms that have proven their efficiency on multi-objective
combinatorial optimisation problems. They often use local search techniques, either at their …

With increasing emphasis on environmental protection, the green vehicle routing problem
has been a research hotspot. This paper investigates a mixed-energy fleet green vehicle …

Solutions to real-life optimization problems usually have to be evaluated considering
multiple conflicting objectives. These kind of problems, known as multi-objective …

This paper considers a Multiple Objective variant of the Critical Disruption Path problem to
extend its suitability in a range of security operations relying on path-based network …

This paper deals with how to efficiently deploy energy-harvesting Relay Nodes in previously
established low-cost static Wireless Sensor Networks (WSNs), assuming a single-tiered …

In this paper, we compare three multi-objective algorithms based on Variable Neighborhood
Search (VNS) heuristic. The algorithms are applied to solve the single machine scheduling …

This paper presents a biobjective multiple allocation p-hub median problem, discusses the
properties of the Pareto frontier and proposes exact and heuristic algorithms for finding the …

In the context of supply chain sustainability, Physical Internet (PI or π) was presented as an
innovative concept to create a global sustainable logistics system. One of the main …

We study the multi-skill workforce scheduling and routing problem in field service
operations. It is motivated by a real-life problem faced by electricity distribution companies …