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In the last decades, algorithmic advances as well as hardware and software improvements have provided an excellent environment to create and develop solving methods to hard optimization problems. Modern exact and heuristic techniques are dramatically enhancing our ability to solve significant practi...
In the last decades, algorithmic advances as well as hardware and software improvements have provided an excellent environment to create and develop solving methods to hard optimization problems. Modern exact and heuristic techniques are dramatically enhancing our ability to solve significant practi...
In the last decades, algorithmic advances as well as hardware and software improvements have provided an excellent environment to create and develop solving methods to hard optimization problems. Modern exact and heuristic techniques are dramatically enhancing our ability to solve significant practi...
This book provides a comprehensive introduction to, and application of, heuristic search methods, specifically the genetic algorithm, for use with mission sets operating in multi-body gravitational systems. Detailed dynamical and mission models, as well as accompanying space-focused scenarios will a...
How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, t...
This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems. The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic...
Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids ...
Die Arbeit beschäftigt sich mit dem Bereich der heuristischen Optimierung, welcher die numerische Lösung schwieriger Funktionen zum Ziel hat. Viele praktische Fragestellungen sind aus verschiedenen Gründen analytisch kaum zu lösen, etwa weil sie nichtlinear, nichtkonvex, nicht differenzierbar od...
This book provides a comprehensive introduction to, and application of, heuristic search methods, specifically the genetic algorithm, for use with mission sets operating in multi-body gravitational systems. Detailed dynamical and mission models, as well as accompanying space-focused scenarios will a...
How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, t...
How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, t...
A large number of problems require the optimization of multiple criteria. These crite ria are often non-commensurate and sometimes conflicting in nature making the task of optimization more difficult. In such problems, the task of creating a combined opti mization function is often not easy. Moreove...
A large number of problems require the optimization of multiple criteria. These crite ria are often non-commensurate and sometimes conflicting in nature making the task of optimization more difficult. In such problems, the task of creating a combined opti mization function is often not easy. Moreove...
Heuristics are short-cuts and deliberately ignore information, for instance through examining fewer cues or integrating less information. However, this collides with a view on management accountants and controllers as rational agents which seems to suggest that all available information should be co...
This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems. The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic...
This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems. The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic...
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems
This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and ev...