Titlebook: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heur; International Worksh Thomas Stützle,M

Neonatal

Estimating Bounds on Expected Plateau Size in MAXSAT Problemsively the search can navigate and escape plateau regions. Furthermore, the solubility of a problem depends on the size and exit density of plateaus, especially those closest to the optimal solution. In this paper we model the plateau phenomenon as a percolation process on hypercube graphs. We develo

adroit

A Theoretical Analysis of the ,-Satisfiability Search Space exist. In this paper we study the search space of the .-SAT problem and show that it can be analyzed by a decomposition. In particular, we prove that the objective function can be represented as a superposition of exactly . elementary landscapes. We show that this decomposition allows us to immedia

借喻

Loopy Substructural Local Search for the Bayesian Optimization Algorithm belief propagation. The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the topology of the neighborhoods explored in local search. On the other hand, belief propagation in graphical models is employed to find the most suitable configura

现实

Motilin

Techniques and Tools for Local Search Landscape Visualization and Analysisnt to grasp the relevant features. In this paper we present and discuss a set of techniques for the visualization of search landscapes aimed at supporting the researcher’s intuition on the behavior of a Stochastic Local Search algorithm applied to a combinatorial optimization problem..We discuss sca

悠然

High-Performance Local Search for Solving Real-Life Inventory Routing Problemsy tank trucks on a long-term horizon, is a generalization of the vehicle routing problem with vendor managed inventory replenishment. The particularity of this problem is that the vendor monitors the customers’ inventories, deciding when and how much each inventory should be replenished by routing t

一再遛

A Detailed Analysis of Two Metaheuristics for the Team Orienteering Problemques are applied to analyse the performance of two different metaheuristics for the team orienteering problem. Furthermore, the parameter setting problem is discussed and the parameter “sensitivity” is analysed.

小木槌

On the Explorative Behavior of MAX–MIN Ant Systemion performed. A formalization in this sense is proposed here: A method for studying this aspect regardless the type of approach used is defined and tested. The consequent measure of exploration is applied to MAX–MIN Ant System: The impact of the values of the parameters on the exploration is assess

Gerontology

巡回

A Memetic Algorithm for the Multidimensional Assignment Problemed case of MAP is 3-AP, though the problems with larger values of . have also a number of applications. In this paper we propose a memetic algorithm for MAP that is a combination of a genetic algorithm with a local search procedure. The main contribution of the paper is an idea of dynamically adjust