In many real-world applications, workspace of robots often involves various danger sources
that robots must evade, such as fire in rescue mission, landmines and enemies in war field …

Many real-world multi-objective optimization problems have hundreds or even thousands of
decision variables, which contrast with the current practice of multi-objective metaheuristics …

Reducing sailing costs, time and emissions are three important decision-making objectives
for ship operators. In this paper, a multi-objective decision model for liner shipping is …

Many-objective problems refer to the optimization problems containing more than three
conflicting objectives. To obtain a representative set of well-distributed non-dominated …

Failure statistics show that distribution networks engage the most contribution to the
customer unavailability services. Optimal reconfiguration of distribution systems has many …

The existing MOPSOs face a great challenge in dealing with many-objective problems, due
to the low discriminability of particles in many-objective spaces, which will affect the …

In this study, a low-carbon architectural design method is proposed. With the proposed
method, it is possible to minimize the carbon emissions of the building while optimizing its …

Over the past few decades, a plethora of computational intelligence algorithms designed to
solve multiobjective problems have been proposed in the literature. Unfortunately, it has …

Recent studies in multiobjective particle swarm optimization (PSO) have the tendency to
employ Pareto-based technique, which has a certain effect. However, they will encounter …

The challenges of the most multi-objective particle swarm optimization (MOPSO) algorithms
are to improve the selection pressure, equilibrate the convergence and diversity when …