Tamara Ulrich Exploring Structural Diversity in Evolutionary Algorithms
نویسنده
چکیده
ix Zusammenfassung xi Statement of Contributions xiii Acknowledgments xv List of Symbols and Abbreviations xv Introduction . Multi-objective Optimization . . . . . . . . . . . . . . . . . . . . . . Evolutionary Algorithms . . . . . . . . . . . . . . . . . . . . . . . . Research Questions . . . . . . . . . . . . . . . . . . . . . . . . . . Contributions and Overview . . . . . . . . . . . . . . . . . . . . . Maintaining Structural Diversity During Optimization . Motivation and Background . . . . . . . . . . . . . . . . . . . . . .. Single-objective Problems . . . . . . . . . . . . . . . . . . .. Multi-objective Problems . . . . . . . . . . . . . . . . . . . .. Overview of Proposed Methods . . . . . . . . . . . . . . . . . Measuring Diversity . . . . . . . . . . . . . . . . . . . . . . . . . .. Requirements . . . . . . . . . . . . . . . . . . . . . . . . .. Overview of Existing Measures . . . . . . . . . . . . . . . . .. The Measure of Solow and Polasky . . . . . . . . . . . . . . . Maximizing Population Diversity in Single-objective Optimization . . . .. Problem Setting . . . . . . . . . . . . . . . . . . . . . . . .. NOAH Algorithm . . . . . . . . . . . . . . . . . . . . . . . .. Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. NOAH Summary . . . . . . . . . . . . . . . . . . . . . . . . Maximizing Population Diversity in Multi-objective Optimization . . . .. Problem Setting . . . . . . . . . . . . . . . . . . . . . . . .. DIOP Algorithm . . . . . . . . . . . . . . . . . . . . . . . . .. Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. DIOP Summary . . . . . . . . . . . . . . . . . . . . . . . .
منابع مشابه
The ensemble clustering with maximize diversity using evolutionary optimization algorithms
Data clustering is one of the main steps in data mining, which is responsible for exploring hidden patterns in non-tagged data. Due to the complexity of the problem and the weakness of the basic clustering methods, most studies today are guided by clustering ensemble methods. Diversity in primary results is one of the most important factors that can affect the quality of the final results. Also...
متن کاملOPTIMAL CONSTRAINED DESIGN OF STEEL STRUCTURES BY DIFFERENTIAL EVOLUTIONARY ALGORITHMS
Structural optimization, when approached by conventional (gradient based) minimization algorithms presents several difficulties, mainly related to computational aspects for the huge number of nonlinear analyses required, that regard both Objective Functions (OFs) and Constraints. Moreover, from the early '80s to today's, Evolutionary Algorithms have been successfully developed and applied as a ...
متن کاملAppraisal of the evolutionary-based methodologies in generation of artificial earthquake time histories
Through the last three decades different seismological and engineering approaches for the generation of artificial earthquakes have been proposed. Selection of an appropriate method for the generation of applicable artificial earthquake accelerograms (AEAs) has been a challenging subject in the time history analysis of the structures in the case of the absence of sufficient recorded accelerogra...
متن کاملDiversity Enhancing Mechanisms for Evolutionary Optimization in Static and Dynamic Environments
The population diversity is an important issue in evolutionary optimization, playing the main role in exploring the search space. The aim of this paper is to analyze the influence of some diversity enhancing mechanisms on the ability of two algorithms related to evolutionary optimization, differential evolution and particle swarm optimization, to solve static and dynamic optimization problems.
متن کاملNew Ant Colony Algorithm Method based on Mutation for FPGA Placement Problem
Many real world problems can be modelled as an optimization problem. Evolutionary algorithms are used to solve these problems. Ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. These ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. Ant colony optim...
متن کامل