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Pro JSP, Third EditionSimpler, faster, easier dynamic website development based on new additions to an established and proven technology—that's what JavaServer Pages (JSP) 2.0 is all about. Pro JSP, Third Edition is the most comprehensive guide and reference to JSP 2.0 yet. It equips you with the tools, techniques, and understanding you need to develop web... | | Raven: Scripting Java Builds with RubyRaven is a Ruby-based build system that leverages Ruby tools (namely Rake and Gems) to help you effectively and easily manage your Java projects, providing a way to handle dependencies and specific tasks for Java. Raven: Scripting Java™ Builds with Ruby
covers the most productive and flexible Java build tool around with the... | | Evolutionary Optimization Algorithms
A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms
Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant... |
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Professional Java Tools for Extreme Programming: Ant, XDoclet, JUnit, Cactus, and Maven (Programmer to Programmer)The Extreme Programming (XP) methodology enables you to build and test enterprise systems quickly without sacrificing quality. In the last few years, open source developers have created or significantly improved a host of Java XP tools, from XDoclet, Maven, AntHill, and Eclipse to Ant, JUnit, and Cactus. This practical, code-intensive guide... | | Ant: The Definitive Guide, 2nd EditionWelcome to Ant, today's premiere build tool. Ant is an extraordinary tool, and it fills a long-standing need among developers. No longer do you have to try to remember the 50 steps to build your project and make sure you do them in the right order or try to get finicky makefiles just right. Now you've got a true build tool that's... | | Evolutionary Scheduling (Studies in Computational Intelligence)Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are often inadequate at solving them effectively. With the... |
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