Evolutionary methods are effective tools for obtaining high-quality results when solving hard practical problems. Linkage learning may increase their effectiveness. One of the state-of-the-art that employ linkage is Parameter-less Population Pyramid (P3). P3 dedicated to single-objective problems in discrete domains. Recent research shows highly competitive addressing with so-called overlapping...

The approximate Karush-Kuhn-Tucker (AKKT) condition is introduced being a necessary of the local weak efficient solution for optimistic bilevel optimization problems with multiple objectives in upper-level problems. We transform multi-objective problem into single-level by means value function transformation or KKT transformation. then prove that AKKT point to be without any constraint qualific...

numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of multi-objective optimization (moo) had arisen several years ago. due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by swarm intelligence (si) techniques. particle swarm optimization (pso) has ...

Abstract For a continuous multi-objective optimization problem, it is usually not practical approach to compute all its nondominated points because there are infinitely many of them. this reason, typical an approximation the set. A common technique for generate polyhedron which contains However, often these approximations used further evaluations. those applications structure that easy handle. ...

This paper proposes a new dynamic multi-objective optimization algorithm by integrating fitting-based prediction (FBP) mechanism with regularity model-based estimation of distribution (RM-MEDA) for in changing environments. The prediction-based reaction aims to generate high-quality population when changes occur, which includes three subpopulations tracking the moving Pareto-optimal set effecti...