-objective optimization problems.First, we try to give some insight on this intractability by determining an, easily computable, upper bound …-objective optimization problems. These representations must satisfy some conditions of coverage, i.e. providing a good approximation …

This paper is focused on solving different hard optimization problems that arise in the field of insurance and, more … the reinsurance rules and conditions produces hard black-box optimization problems (problems in which the objective … and particle swarm optimization). We provide an analysis in three black-box optimization problems in reinsurance, where …

Our aim in this thesis is to propose efficient algorithms for solving difficult combinatorial optimization problems … context of combinatorial optimization problems. In a second step we discuss applications of our algorithm on some difficult …

, deterministic optimization problems depending on a probability measure often correspond to such situations. In applications the …

problems such as unconstrained optimization problems, constrained optimization problems, nonlinear programming, multi …-objective optimization, stochastic programming and combinatorial optimization problems. PSO has been presented in the literature and applied … to the study of swarms; where it is a simulation of bird flocks. It can be used to solve a wide variety of optimization …