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

Neuralgia

A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimizationmethods based on the iterative improvement of the nondominated set by means of a neighborhood operator. Next, the effect of current solutions selection and of neighborhood exploration techniques for such purpose is studied. Experiments are conducted on a permutation flowshop scheduling problem in a two- and a three-objective variant.

兽群

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/310968.jpg

神圣将军

amorphous

heart-murmur

预兆好

Autonomous Control Approach for Local SearchWe propose here an approach for the autonomous control of a local search algorithm, which has several moves operators, whose efficiency can be diverse and whose application is adjusted according to the observation of the current status of search, in order to adapt to the balance between exploitation and exploration of search space.

BYRE

冒号

Mixed-Effects Modeling of Optimisation Algorithm PerformanceThe learning curves of optimisation algorithms, plotting the evolution of the objective vs. runtime spent. can be viewed as a sample of . data. In this paper we describe . modeling, a standard technique in longitudinal data analysis, and give an example of its application to algorithm performance modeling.

expunge

哄骗

On the Use of Run Time Distributions to Evaluate and Compare Stochastic Local Search Algorithmsmization. We further explore run time distributions and describe a new tool to compare two algorithms based on stochastic local search. For the case where the running times of both algorithms fit exponential distributions, we derive a closed form index that gives the probability that one of them fin