Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …

This paper investigates an improved genetic algorithm on multiple automated guided
vehicle (multi-AGV) path planning. The innovations embody in two aspects. First, three …

We consider an analytical model of a permanent magnet synchronous generator (PMSG)
and formulate a mixed-integer constrained multiobjective optimization problem with six …

We study data-driven decision support and formalise a path from data to decision making.
We focus on lot sizing in inventory management with stochastic demand and propose an …

We study how visual interaction techniques considered in visual analytics can be utilized
when implementing interactive multiobjective optimization methods, where a decision maker …

This chapter describes the state-of-the-art in visualisation for decision support processes in
problems with many objectives. Visualisation is an important part of a constructive decision …

We introduce a new interactive multiobjective optimization method operating in the objective
space called Nonconvex Pareto Navigator. It extends the Pareto Navigator method for …

Problems in chemical engineering, like most real-world optimization problems, typically,
have several conflicting performance criteria or objectives and they often are …

A wide range of problems arising from real world applications present multiple and
conflicting objectives to be simultaneously optimized. However, this multi-objective nature is …

We introduce a framework for interactive multiobjective optimization methods called
DESDEO released under an open source license. With the framework, we want to make …