Sect. I. Introduction — Why Is Optimization Difficult? / Thomas Weise, Michael Zapf, Raymond Chiong, Antonio J. Nebro — The Rationale behind Seeking Inspiration from Nature / Kent C.B. Steer, Andrew Wirth, Saman K. Halgamuge — Sect. II. Evolutionary Intelligence — The Evolutionary-Gradient-Search Procedure in Theory and Practice / Ralf Salomon, Dirk V. Arnold — The Evolutionary Transition Algorithm: Evolving Complex Solutions out of Simpler Ones / Tom Lenaerts, Anne Defaweux, Jano van Hemert — A Model-Assisted Memetic Algorithm for Expensive Optimization Problems / Yoel Tenne — A Self-Adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization / Yu Wang, Bin Li — Differential Evolution with Fitness Diversity Self-Adaptation / Ville Tirronen, Ferrante Neri — Central Pattern Generators: Optimisation and Application / Leena N. Patel — Sect. III. Collective Intelligence — Fish School Search / Carmelo J.A. Bastos Filho … [et al.] — Magnifier Particle Swarm Optimization / Ying Tan, Junqi Zhang — Improved Particle Swarm Optimization in Constrained Numerical Search Spaces / Efren Mezura-Montes, Jorge Isacc Flore-Mendoza — Applying River Formation Dynamics to Solve NP-Complete Problems / Pablo Rabanal, Ismael Rodriguez, Fernando Rubio — Sect. IV. Social-Natural Intelligence — Algorithms Inspired in Social Phenomena / Antonio Neme, Sergio Hernandez — Artificial Immune Systems for Optimization / Heder S. Bernardino, Helio J.C. Barbosa — Sect. V. Multi-Objective Optimisation — Ranking Methods in Many-objective Evolutionary Algorithms / Antonio Lopez Jaimes, Luis Vicente Santana Quintero, Carlos A. Coello Coello — On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II / Antonio J. Nebro, Juan J. Durillo — Improving the Performance of Multiobjective Evolutionary Optimization Algorithms using Coevolutionary Learning /Tse Guan Tan, Jason Teo — Evolutionary Optimization for Multiobjective Portfolio Selection Under Markowitzs Model with Application to the Caracas Stock Exchange / Feijoo Colomine Duran, Carlos Cotta, Antonio J. Fernandez.
Thứ Tư, 11 tháng 2, 2015
Thứ Hai, 9 tháng 2, 2015
Geometric Programming for Design and Cost Optimization
Geometric programming is used for design and cost optimization, the development of generalized design relationships, cost ratios for specific problems, and profit maximization. The early pioneers of the process – Zener, Duffin, Peterson, Beightler, Wilde, and Phillips — played important roles in the development of geometric programming. There are three major areas: 1) Introduction, History, and Theoretical Fundamentals, 2) Applications with Zero Degrees of Difficulty, and 3) Applications with Positive Degrees of Difficulty. The primal-dual relationships are used to illustrate how to determine the primal variables from the dual solution and how to determine additional dual equations when the degrees of difficulty are positive. A new technique for determining additional equations for the dual, Dimensional Analysis, is demonstrated. The various solution techniques of the constrained derivative approach, the condensation of terms, and dimensional analysis are illustrated with example problems. The goal of this work is to have readers develop more case studies to further the application of this exciting tool.Table of Contents: Introduction / Brief History of Geometric Programming / Theoretical Considerations / The Optimal Box Design Case Study / Trash Can Case Study / The Open Cargo Shipping Box Case Study / Metal Casting Cylindrical Riser Case Study / Inventory Model Case Study / Process Furnace Design Case Study / Gas Transmission Pipeline Case Study / Profit Maximization Case Study / Material Removal/Metal Cutting Economics Case Study / Journal Bearing Design Case Study / Metal Casting Hemispherical Top Cylindrical Side Riser\Case Study / Liquefied Petroleum Gas (LPG) Cylinders Case Study / Material Removal/Metal Cutting Economics with Two Constraints / The Open Cargo Shipping Box with Skids / Profit Maximization Considering Decreasing Cost Functions of Inventory Policy / Summary and Future Directions / Thesis and Dissertations on Geometric Programming
Thứ Năm, 29 tháng 1, 2015
Working Together
The typical workplace is a hotbed of human relationships–of friendships, conflicts, feuds, alliances, partnerships, coexistence and cooperation. Here, problems are solved, progress is made, and rifts are mended because they need to be – because the work has to get done. And it has to get done among increasingly diverse groups of co-workers. At a time when communal ties in American society are increasingly frayed and segregation persists, the workplace is more than ever the site where Americans from different ethnic, religious, and racial backgrounds meet and forge serviceable and sometimes lasting bonds. What do these highly structured workplace relationships mean for a society still divided by gender and race? Structure and rules are, in fact, central to the answer. Workplace interactions are constrained by economic power and necessity, and often by legal regulation. They exist far from the civic ideal of free and equal citizens voluntarily associating for shared ends. Yet it is the very involuntariness of these interactions that helps to make the often-troubled project of racial integration comparatively successful at work. People can be forced to get along-not without friction, but often with surprising success. This highly original exploration of the paradoxical nature–and the paramount importance–of workplace bonds concludes with concrete suggestions for how law can further realize the democratic possibilities of working together. In linking workplace integration and connectedness beyond work, Estlund suggests a novel and promising strategy for addressing the most profound challenges facing American society.
Thứ Hai, 12 tháng 1, 2015
A Neural Network Model of Lexical Organization
This is an engaging study of the mental lexicon: the way in which the form and meaning of words is stored by speakers of specific languages. Fortescue attempts to narrow the gap between the results of experimental neurology and the concerns of theoretical linguistics in the area of lexical semantics. The prime goal as regards linguistic theory is to show how matters of lexical organization can be analysed and discussed within a neurologically informed framework that is both adaptable and constrained.
Chủ Nhật, 11 tháng 1, 2015
Fuzzy Probabilities New Approach and Applications
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.