<?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></records></xml>