這是linux下的進化計算的源代碼。
=== === === === === === === === === === === =====
check latest news at http://eodev.sourceforge.net/
=======================================================================
Welcome to EO, the Evolving Objects library.
The latest news about EO can be found on the sourceforge repository at
http://eodev.sourceforge.net/
In case of any problem, please e-mail us at
eodev-help@lists.sourceforge.net, eodev@egroups.com
To get started, take a look at the tutorial, starting with
./tutorial/html/eoTutorial.html
The easiest way to start programming a new genome with all EO
evolution engines handy is to create a new standalone EO project from
the tutorial/Templates/ directory. Read Lesson 5 of the tutorial for
an introduction )
A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The testing of two multimodal functions indicates it improves
the performance effectively.
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The testing of two multimodal functions indicates it improves
the performance effectively.
移動ip書籍，很有用。
Third Generation (3G) mobile offers access to broadband multimedia services - and in the future most of these, even voice and video, will be IP-based. However 3G networks are not based on IP technologies, rather they are an evolution from existing 2G networks. Much work needs to be done to IP QoS and mobility protocols and architectures for them to be able to provide the functionality 3G requires.
This a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University.
The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel model, soft decision decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE.
In this paper, we describe the development of a rapidly reconfigurable system in which the users’ tacit knowledge and requirements are
elicited via a process of Interactive evolution, finding the image processing parameters to achieve the required goals without any need for
specialised knowledge of the machine vision system. We show that the resulting segmentation can be quickly and easily evolved from
scratch, and achieves detection rates comparable to those of a hand-tuned system on a hot-rolled steel defect recognition problem.
To introduce software process models
To describe three generic process models and when they may be used
To describe outline process models for requirements engineering, software development, testing and evolution
To explain the Rational Unified Process model
To introduce CASE technology to support software process activities
This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want to find the parameter set minimizing the output of the function, using this package is one possible way to go.
The book presents a historical background of past and present guided missile systems and the evolution of modern weapons,discusses the generalized missile equations of motion, aerodynamic forces and coefficients, the important subject of the various types
of tactical guidance laws and/or techniques, weapon delivery systems and techniques,strategic
missiles and cruise missile theory and
design.
