Titlebook: Design of Heuristic Algorithms for Hard Optimization; With Python Codes fo Éric D. Taillard Textbook‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applica

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Elements of Graphs and Complexity Theorye graph algorithms. Some of these algorithms have simply been transposed to solve difficult optimization problems in a heuristic way. On the other hand, it is important to be able to determine whether a problem falls into the category of difficult problems. Indeed, one will not develop a heuristic a

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Constructive Methods Then two basic methods are presented, random and greedy constructions. The latter sequentially selects the elements to include to a partial solution, never changing the choices that have been made. This method can be improved by a deeper evaluation of the consequences of a choice. Beam search and t

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Local Search to the problem. Hence, for any solution, a set of neighbor solutions must be defined. Clearly, the definition of this set depends on the problem modeling. However, a natural neighborhood may turn out to be either too small to lead to quality solutions or too large, inducing prohibitive calculation

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Local Search Learning master of metaheuristics. Moreover, this term was proposed by his inventor. This chapter focuses on the ingredients at the basis of taboo search, namely, the use of memories and tactics for exploring the solution set. Other ingredients proposed in the context of taboo search by his inventor, like t

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Population Managementisting ones and for managing a population of solution. The most popular method in this field is undoubtedly genetic algorithms. However, the latter are less advanced metaheuristics than memetic algorithms or scatter search. The path relinking technique is also part of this chapter. Finally, among th

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Heuristics Designecomposing the problem into a chain of more manageable sub-problems. Secondly, it proposes an approach for the design of a specific heuristic. Finally, some techniques for parameter tuning and comparing the efficiency of algorithms are reviewed.

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Wind-induced random vibrations of structures,e theory behind is not visible in order to simplify the applicability of the procedures. This contribution derives important basic relations of the spectral method and explains simplified assumptions for its application in order to elucidate part of the theoretical background of computations after the new codes.

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Problemlöseprozesse von Lehramtsstudierenden im ersten Semesteraufgaben verstanden werden können, betrachtet. In Kleingruppen wurden Interviews geführt, um die Bearbeitungen der Aufgaben durch Studierende zu beobachten. Dabei wird entsprechend der Konstruktion von Hilfen der Fokus der Darstellungen auf die Verwendung von Beispielen, gerade zu Beginn des Bearbeitungsprozesses, gelegt.

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David S. Goldstein MD, PhDrovide insight into our software development workflow and present our Hardware-in-the-Loop simulation setup. It is capable of running simulations of up to eight autonomous vehicles in real time. The second part of the paper gives a high-level overview of the software architecture and covers our deve