In almost no other field of computer science, the idea of using bio-inspired search paradigms
has been so useful as in solving multiobjective optimization problems. The idea of using a …

Multiobjective optimization plays an increasingly important role in modern applications,
where several criteria are often of equal importance. The task in multiobjective optimization …

Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary
algorithms to approximate the optimal solutions of large-scale multiobjective optimization …

To approximate the Pareto front, most existing multiobjective evolutionary algorithms store
the nondominated solutions found so far in the population or in an external archive during …

The Hausdorff distance d H is a widely used tool to measure the distance between different
objects in several research fields. Possible reasons for this might be that it is a natural …

The continuous and increasing interest concerning vector optimization perceptible in the
research community, where contributions dealing with the theory of duality abound lately …

In many areas in engineering, economics and science new developments are only possible
by the application of modern optimization methods. The optimization problems arising …

Branch and bound is a well-known generic method for computing an optimal solution of a
single-objective optimization problem. Based on the idea “divide to conquer”, it consists in …

In this paper, we propose and investigate a new local search strategy for multiobjective
memetic algorithms. More precisely, we suggest a novel iterative search procedure, known …