While offshore wind energy is showing enormous potential, effective approaches to enhance
its economics are being sought at the same time. The design of maintenance strategy is a …

In multiobjective optimization, a scalable test problem is one that can be formulated for an
arbitrary number of objectives. Scalable test problems evaluate the conceptual foundations …

Optimization is a very broad field of research with a wide spectrum of important applications.
Until the 1950s, optimization was understood as a single-objective optimization, ie, as the …

Multi-objective integer or mixed-integer programming problems typically have disconnected
feasible domains, making the task of constructing an approximation of the Pareto front …

This paper proposes a novel intelligent scheduling method based on deep reinforcement
learning (DRL) to solve the multi-objective steelmaking-continuous casting (SCC) …

We propose new mathematical models of inventory management in a reverse logistics
system. The proposed models extend the model introduced by Nahmias and Rivera with the …

One of the main priorities for metro line operators is the reduction of energy consumption,
due to the environmental impact and economic cost. The new moving block signalling …

Multiobjective mixed integer convex optimization refers to mathematical programming
problems where more than one convex objective function needs to be optimized …

The paper presents an analysis, characterizations and comparison of six commonly used
scalarization methods in multiobjective optimization. The properties of these methods are …

We propose a new scalarization technique for nonconvex multiobjective optimization
problems and establish its theoretical properties. By combining our new scalarization …