<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Land Combat Scenario Planning: A Multiobjective Approach</style></title><secondary-title><style face="normal" font="default" size="100%">Simulated Evolution and Learning</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><number><style face="normal" font="default" size="100%">4247</style></number><publisher><style face="normal" font="default" size="100%">Springer Berlin Heidelberg</style></publisher><isbn><style face="normal" font="default" size="100%">978-3-540-47332-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;col-main has-full-enumeration&quot; id=&quot;kb-nav--main&quot; style=&quot;border: 0px; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; line-height: 13px; margin: 0px 0px 0px 40px; padding: 0px; vertical-align: baseline; outline: 0px; display: inline; width: 580px; float: left; position: relative; color: rgb(51, 51, 51); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255);&quot;&gt;&lt;div class=&quot;abstract-content formatted&quot; style=&quot;border: 0px; font-family: inherit; font-size: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline; outline: 0px; display: block;&quot;&gt;&lt;p&gt;The simulation of land combat operations is a complex task. The space of possibilities is exponential and the performance criteria are usually in conflict; thus finding a sweet spot in this complex search space is a hard task. This paper focuses on the effect of population size and mutation rate on the performance of NSGA&amp;ndash;II, as the evolutionary multiobjective optimization technique, to decide on the composition of forces using a complex land combat multi-agent scenario planning tool.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-aside&quot; id=&quot;kb-nav--aside&quot; style=&quot;border: 0px; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; line-height: 13px; margin: 0px 0px 0px 40px; padding: 0px; vertical-align: baseline; outline: 0px; display: inline; width: 240px; float: left; color: rgb(51, 51, 51); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255);&quot;&gt;&lt;div class=&quot;cover&quot; style=&quot;border: 0px; font-family: inherit; font-size: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline; outline: 0px; display: block;&quot;&gt;&lt;div class=&quot;look-inside cover-image-animate&quot; style=&quot;border: 0px; font-family: inherit; font-size: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline; outline: 0px; display: block; min-height: 188px; position: relative; max-width: 170px; text-decoration: none;&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</style></abstract><reprint-edition><style face="normal" font="default" size="100%">6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006. </style></reprint-edition></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Risk assessment of capability requirements using WISDOM-II</style></title><secondary-title><style face="normal" font="default" size="100%">Complex System</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">January 16, 200</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">60390A </style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align:start&quot;&gt;The analysis of capability requirements is very important for military operational decision. It assists defence analysts to make decisions at all strategic, operational and tactical levels. However it tends to be extremely expensive and time-consuming because of the complexity under the military command, control and communication environment. Information technologies, such as red teaming, complex adaptive systems and agent based systems, can facilitate such analysis in a well-structured and systematic way through computer simulations. Based on these technologies, a promising agent-based combat simulation system - WISDOM-II is built. In this paper, we conduct a series of analysis to evaluate the effect of different capability configurations on the performance of different force compositions.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Evolving agents for network centric warfar</style></title><secondary-title><style face="normal" font="default" size="100%">GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">06-2005</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">ACM </style></publisher><pub-location><style face="normal" font="default" size="100%">New York, NY, USA ©2005</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style=&quot;background-color:rgb(255, 255, 255); color:rgb(0, 0, 0); font-family:verdana,arial,helvetica,sans-serif&quot;&gt;The advances in information technology largely influence our life style in various aspects. The changes in the underlying economics, information technology, business processes and organizations are affecting the very character of war and are leading to the fundamental shift from platform-centric warfare to network centric warfare (NCW), also known as network centric operation (NCO) [1]. Since its emergence in 1983 [10], the debate between proponents and opponents is hotly continuous. The proponents suggest that networked entities may produce information superiority, which in turn dramatically increases combat power. The theory that power is increasingly derived from information sharing, knowledge sharing and command speeding up has been supported by results of recent military operational experience [4]. The advantages of NCW have been recognized as:Small-size networked forces can perform missions effectively at a lower cost&lt;/span&gt;&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">WISDOM-II: A Network Centric Model for Warfare</style></title><secondary-title><style face="normal" font="default" size="100%">Knowledge-Based Intelligent Information and Engineering Systems</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year></dates><number><style face="normal" font="default" size="100%">3683</style></number><publisher><style face="normal" font="default" size="100%">Springer Berlin Heidelberg</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin </style></pub-location><pages><style face="normal" font="default" size="100%">9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part III</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-31990-0</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;col-main has-full-enumeration&quot; id=&quot;kb-nav--main&quot; style=&quot;border: 0px; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; line-height: 13px; margin: 0px 0px 0px 40px; padding: 0px; vertical-align: baseline; outline: 0px; display: inline; width: 580px; float: left; position: relative; color: rgb(51, 51, 51); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255);&quot;&gt;&lt;div class=&quot;abstract-content formatted&quot; style=&quot;border: 0px; font-family: inherit; font-size: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline; outline: 0px; display: block;&quot;&gt;&lt;p&gt;With recognition of warfare as a complex adaptive system, a number of agent based distillation systems for warfare have been developed and adopted to study the dynamics of warfare and gain insight into military operations. These systems have facilitated the analysis and understanding of combat. However these systems are unable to meet the new needs of defence arising from the deeper understanding of warfare and the emergence of the theory of network centric warfare. In this paper, we propose a network centric model which provides a new approach to understand and analyse the dynamics of both platform centric and network centric warfare.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-aside&quot; id=&quot;kb-nav--aside&quot; style=&quot;border: 0px; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; line-height: 13px; margin: 0px 0px 0px 40px; padding: 0px; vertical-align: baseline; outline: 0px; display: inline; width: 240px; float: left; color: rgb(51, 51, 51); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255);&quot;&gt;&lt;div class=&quot;cover&quot; style=&quot;border: 0px; font-family: inherit; font-size: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline; outline: 0px; display: block;&quot;&gt;&lt;div class=&quot;look-inside cover-image-animate&quot; style=&quot;border: 0px; font-family: inherit; font-size: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; line-height: inherit; margin: 0px; padding: 0px; vertical-align: baseline; outline: 0px; display: block; min-height: 188px; position: relative; max-width: 170px; text-decoration: none;&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</style></abstract></record></records></xml>