This work is divided into a sequence of steps. The content of each step is described in chapters, and each chapter includes the work from basic information to the completion of some sequential step. The organization this work is as follows. In Chapter-1 some very basic introduction about the term optimization and also a brief introduction are given about optimization with single objective and multi objective optimization. Basic formulation of practical problems with multiple objectives as well as single objective in terms of mathematical programming problem is given. Further, some methods for solving MOOPs are discussed briefly which are present in the existing literature. Some classical methods based on the preference of a decision maker (DM) are categorized as no-preference, a priori preference, posteriori preferences and interactive preference are mentioned. Also some nature inspired methods based on the artificial intelligence are discussed like evolutionary algorithms. Concept of swarm intelligence and based methods like PSO, ACO, etc are given. In chapter-2, swarm intelligence based heuristic method particle swarm optimization method for solving multi objective optimization problems are given with position and velocity update equations. Swarm intelligent is the basic working idea on which this particular method and many other methods are based upon. In the ending of this chapter some applications of PSO in real world are given. In chapter-3, solving some multi objective optimization problems which are present in literature using PSO algorithm are solved. The results of these problems are noted and are presented below. Multiple iterations are performed in order to achieve the best possible results. Chapter-4 include conclusion of the whole work with future working scope and lastly, some references are mentioned.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 46 pages. 10.00x7.00x0.11 inches. In Stock. Bestandsnummer des Verkäufers zk1723889563
Anzahl: 1 verfügbar