This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-
objective discrete optimization problems (MODOPs). The relevant literature source and their …

The rapid growth of cloud computing in the last decade has led to an increasing concern
about the energy requirement of cloud data centers. Dynamic virtual machine (VM) …

We propose a novel recommendation tool for software refactoring that dynamically adapts
and suggests refactorings to developers interactively based on their feedback and …

This paper introduces a multiobjective fleet size and mix location-routing problem with time
windows and designs a set of real-world benchmark instances. Then, two versions of …

Local search algorithms constitute a growing area of interest to approximate the Pareto sets
of multi-objective combinatorial problem instances. In this study, we focus on the multi …

Dynamic multi-objective optimization problems involve the simultaneous optimization of
several competing objectives where the objective functions and/or constraints may change …

This study addresses a multi-site stochastic order planning problem with real-world features
existing in make-to-order textile manufacturing supply chains widely. A mathematical model …

Finding a good compromise between intensification and diversification mechanisms is very
challenging task when solving multi-objective optimization problems (MOPs). In this paper …

The social and medico-social sector is experiencing a fast evolution due to the continuing
growth of older population. Yet, social and medico-social structures suffer from a real lack of …

We present an adaption on the formulation for the vehicle routing problem with fixed delivery
and optional collections, in which the simultaneous minimization of route costs and of …