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Multicriterion optimization refers to problems with two or more objectives (n- mally in con?ict with each other) which must be simultaneously satis?ed. Multicriterion optimization problems have not one but a set of solutions (which represent trade-o?s among the objectives), which are called Pareto optimal - lutions. Thus, the main goal in multicriterion optimization is to ?nd or to - proximate the set of Pareto optimal solutions. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing popularity over the last 10 years. The 3rd International Conference on Evolutionary Multi-criterion Optimi- tion(EMO2005)washeldduringMarch9-11,2005,inGuanajuato,M´ exico.This wasthethirdinternationalconferencededicatedentirelytothisimportanttopic, followingthesuccessfulEMO2001andEMO2003conferences,whichwereheldin Z¨ urich,SwitzerlandinMarch2001,andinFaro,PortugalinApril2003,respectively. The EMO 2005 scienti?c program included two keynote addresses, one given by Peter Fleming on an engineering design perspective of many-objective op- mization, and the other given by Milan Zeleny on the evolution of optimality. In addition, three tutorials were presented, one on metaheuristics for multiobj- tivecombinatorialoptimizationbyXavierGandibleux,anotheronmultiobjective evolutionary algorithms by Gary B. Lamont, and a third one on performance assessment of multiobjective evolutionary algorithms by Joshua D. Knowles.

Algorithms. --- Numerical analysis. --- Artificial intelligence. --- Algorithm Analysis and Problem Complexity. --- Numeric Computing. --- Artificial Intelligence.

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Evolutionary computation (EC) involves the study of problem-solving and op- mization techniques inspired by principles of natural evolution and genetics. EC has been able to draw the attention of an increasing number of researchers and practitioners in several ?elds. Evolutionary algorithms have in particular been showntobee?ectivefordi?cultcombinatorialoptimizationproblemsappearing in various industrial, economics, and scienti?c domains. This volume contains the proceedings of EvoCOP 2005, the 5th European Conference on Evolutionary Computation in Combinatorial Optimization. It was held in Lausanne, Switzerland, on 30 March-1 April 2005, jointly with EuroGP 2005, the 8th European Conference on Genetic Programming, and the EvoWorkshops 2005, which consisted of the following six individual workshops: EvoBIO, the 3rd European Workshop on Evolutionary Bioinformatics; Evo- COMNET, the 2nd European Workshop on Evolutionary Computation in C- munication, Networks, and Connected Systems; EvoHOT, the 2nd European Workshop on Hardware Optimisation Techniques; EvoIASP, the 7th European Workshop on Evolutionary Computation in Image Analysis and Signal Proce- ing; EvoMUSART, the 3rd European Workshop on Evolutionary Music and Art; and EvoSTOC, the 2nd European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments.

Computers. --- Algorithms. --- Numerical analysis. --- Computer science—Mathematics. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Numeric Computing. --- Discrete Mathematics in Computer Science.

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Combinatorial optimization and in particular the great variety of fascinating problemsthatbelong to thisareahaveattractedmanyresearchersformorethan halfacentury.Duetothepracticalrelevanceofsolvinghardreal-worldproblems, much research e?ort has been devoted to the development of heuristic methods aimed at ?nding good approximate solutions in a reasonable computation time. Some solution paradigms that are not speci?c for one particular problem have been deeply studied in the past, and the term metaheuristic is now common for such optimization heuristics. Several metaheuristics - simulated annealing, - netic and evolutionary algorithms, tabu search, ant colony optimization, scatter search, iterated local search, and greedy randomized adaptive search procedures beingsomeofthem-havefoundtheirownresearchcommunities,andspecialized conferences devoted to such techniques have been organized. Plenty of classical hard problems, such as the quadratic assignment pr- lem, the traveling salesman problem, problems in vehicle routing, scheduling, and timetabling, etc., have been tackled successfully with metaheuristic - proaches. Several thereof are currently considered state-of-the-art methods for solving such problems. However, for many years the main focus of research was on the application of single metaheuristics to given problems. A tendency to compare di?erent metaheuristics against each other could be observed, and sometimes this competition led to thinking in stereotypes in the research communities.

Algorithms. --- Computers. --- Artificial intelligence. --- Numerical analysis. --- Pattern recognition. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Artificial Intelligence. --- Numeric Computing. --- Pattern Recognition.

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This book presents new research results in multidisciplinary fields of mathematical and numerical modelling in mechanics. The chapters treat the topics: mathematical modelling in solid, fluid and contact mechanics nonconvex variational analysis with emphasis to nonlinear solid and structural mechanics numerical modelling of problems with non-smooth constitutive laws, approximation of variational and hemivariational inequalities, numerical analysis of discrete schemes, numerical methods and the corresponding algorithms, applications to mechanical engineering numerical aspects of non-smooth mechanics, with emphasis on developing accurate and reliable computational tools mechanics of fibre-reinforced materials behaviour of elasto-plastic materials accounting for the microstructural defects definition of structural defects based on the differential geometry concepts or on the atomistic basis interaction between phase transformation and dislocations at nano-scale energetic arguments bifurcation and post-buckling analysis of elasto-plastic structures engineering optimization and design, global optimization and related algorithms The book presents selected papers presented at ETAMM 2016. It includes new and original results written by internationally recognized specialists.

Mechanics. --- Mechanics, Applied. --- Computer mathematics. --- Numerical analysis. --- Physics. --- Solid Mechanics. --- Computational Science and Engineering. --- Numeric Computing. --- Numerical and Computational Physics, Simulation.

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Das Buch ist eine praxisnahe Einführung in die Numerische Mathematik zu grundlegenden Aufgabengebieten wie lineare und nichtlineare Gleichungen und Systeme, Eigenwerte von Matrizen, Approximation, Interpolation, Splines, Quadratur und Kubatur. Die Autoren beschreiben die mathematischen und numerischen Prinzipien wichtiger Verfahren und stellen leistungsfähige Algorithmen für deren Durchführung dar. Zahlreiche Beispiele und erläuternde Skizzen erleichtern das Verständnis. Für jeden Problemkreis werden Entscheidungshilfen für die Auswahl des geeigneten Verfahrens angegeben. Zu allen Verfahren wurden Programme in C entwickelt, die auf einer CD-ROM beigefügt sind. Eine zweite CD-ROM enthält Spline-Funktionen als Demo-Version aus der interaktiven Lernumgebung NUMAS.

Applied mathematics. --- Engineering mathematics. --- Computer-aided engineering. --- Numerical analysis. --- Mathematical and Computational Engineering. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Numeric Computing. --- Numerical calculations. --- Logic, Symbolic and mathematical.