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

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Kidnap

Implementation Effort and Performanceons cannot be always generalized to . ones, and vice versa. As a case study, we focus on the vehicle routing problem with stochastic demand and on five among the most successful metaheuristics—namely, tabu search, simulated annealing, genetic algorithm, iterated local search, and ant colony optimiza

細菌等

maladorit

phlegm

Baffle

The Importance of Being Carefulwith competing methods, but also when inexperienced researchers implement a method for the first time. Often the (hidden) correlations between the search method components and parameters are neglected or ignored, using only standardized templates. This paper looks at some of these pitfalls or hidden

Baffle

spinal-stenosis

Implementation Effort and Performance. or a . version can be developed. The former way requires a rather low effort, and in general allows to obtain fairly good results. The latter implies a larger investment in the design, implementation, and fine-tuning, and can often produce state-of-the-art results..Unfortunately, most of the resea

共同時代

Tuning the Performance of the MMAS Heuristicvestigation is Max-Min Ant System (MMAS) for the Travelling Salesperson Problem (TSP). Specifically, the Response Surface Methodology is used to model and tune MMAS performance with regard to 10 tuning parameters, 2 problem characteristics and 2 performance metrics—solution quality and solution time

剝皮