Titlebook: Evolutionary Computation in Combinatorial Optimization; 18th European Confer Arnaud Liefooghe,Manuel López-Ibá?ez Conference proceedings 20

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Communicate

On the Fractal Nature of Local Optima Networks,ere have been recent observations made about inherent .. An object is said to be self-similar if it shows the same patterns when measured at different scales; another word used to convey self-similarity is .. The . of an object captures how the detail observed changes with the scale at which it is m

Resection

How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes,nce and distribution of multiple funnels in the landscape. We extract and analyse the networks induced by Chained-LK, a powerful iterated local search for the TSP, on a large set of randomly generated (Uniform and Clustered) instances. Results indicate that increasing the perturbation strength emplo

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auxiliary

Automatic Algorithm Configuration for the Permutation Flow Shop Scheduling Problem Minimizing Totaln flow shop scheduling problem minimizing total completion time with a context-free grammar that defines how algorithmic components can be combined to form a full heuristic search method. We implement components from various works from the literature, including several local search procedures. The s

auxiliary

Data Clustering Using Grouping Hyper-heuristics,ultiple criteria varying dependent on the domain. A recent work proposed a general-purpose selection hyper-heuristic search framework with reusable components, designed for rapid development of grouping hyper-heuristics to solve grouping problems. The framework was tested only on the graph colouring

Coeval

Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop he literature that JSS usually contains many (four or more) potentially conflicting objectives. One of the promising and successful approaches to solve the JSS problem is Genetic Programming Hyper-Heuristic (GP-HH). This approach automatically evolves dispatching rules for solving JSS problems. This

幼稚

MOEA/DEP: An Algebraic Decomposition-Based Evolutionary Algorithm for the Multiobjective Permutatio this paper we introduce a decomposition-based algebraic evolutionary algorithm, namely MOEA/DEP, in order to deal with multiobjective permutation-based optimization problems. As a case of study, MOEA/DEP has been experimentally validated on a multiobjective permutation flowshop scheduling problem (

CHIDE

,An Evolutionary Algorithm with Practitioner’s-Knowledge-Based Operators for the Inventory Routing Pinventory levels at the same time. The IRP is notable for its difficulty - even finding feasible initial solutions poses a?significant problem..In this paper an evolutionary algorithm is proposed that uses approaches to solution construction and modification utilized by practitioners in the field. T