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The exam for the Sun Certified Programmer for Java Platform, Standard Edition 6, has changed considerably since the second edition of this book was published The most noticeable change in the current version of the Sun Certified Java Programmer (SCJP) 16 exam is the inclusion of the features of Java 5, and the shifting of emphasis towards analyzing code scenarios, rather than individual language constructs In our opinion, the new exam demands an even greater understanding and actual experience of the language, rather than mere recitation of facts Proficiency in the language is the key to success Since the emphasis of the SCJP 16 exam is on the core features of Java, the third edition provides even greater in-depth coverage of the relevant topics The book covers not just the exam objectives, but also supplementary topics that aid in mastering the exam topics The third edition is still a one-source guide for the SCJP 16 exam: it provides a mixture of theory and practice for the exam Use the book to learn Java, pass the SCJP 16 exam, and afterwards, use it as a handy language guide The book lso has an appendix devoted to the SCJP 16 Upgrade exam We have taken into consideration the feedback we have received from readers The many hours spent in handling the deluge of e-mail have not been in vain Every single e-mail is appreciated and is hereby acknowledged Preparing the third edition dispelled our illusions about newer editions being, to put it colloquially, a piece of cake Every sentence from the second edition has been weighed carefully, and not many paragraphs have escaped rewriting UML (Unified Modeling Language) is also extensively employed in this edition Numerous new review questions have been added In covering the new topics and expanding the existing ones, new examples, figures, and tables were also specifically created for the third edition.

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In 1996 I pulled up stakes and headed west to work for JavaSoft, as it was then known, because it was clear that that was where the action was In the intervening five years I've served as Java platform libraries architect I've designed, implemented, and maintained many of the libraries and served as a consultant for many others Presiding over these libraries as the Java platform matured was a once-in-a-lifetime opportunity It is no exaggeration to say that I had the privilege to work with some of the great software engineers of our generation In the process, I learned a lot about the Java programming language what works, what doesn't, and how to use the language and its libraries to best effect This book is my attempt to share my experience with you so that you can imitate my successes while avoiding my failures I borrowed the format from Scott Meyers's Effective C++ [Meyers98], which consists of fifty items, each conveying one specific rule for improving your programs and designs I found the format to be singularly effective, and I hope you do too In many cases, I took the liberty of illustrating the items with real-world examples from the Java platform libraries When describing something that could have been done better, I tried to pick on code that I wrote myself, but occasionally I pick on something written by a colleague I sincerely apologize if, despite my best efforts, I've offended anyone Negative examples are cited ot to cast blame but in the spirit of cooperation, so that all of us can benefit from the experience of those who've gone before While this book is not targeted solely at developers of reusable components, it is inevitably colored by my experience writing such components over the past two decades I naturally think in terms of exported APIs (Application Programming Interfaces), and I encourage you to do likewise Even if you aren't developing reusable components, thinking in these terms tends to improve the quality of the software you write Furthermore, it's not uncommon to write a reusable component without knowing it: You write something useful, share it with your buddy across the hall, and before long you have half a dozen users At this point, you no longer have the flexibility to change the API at will and are thankful for all the effort that you put into designing the API when you first wrote the software My focus on API design may seem a bit unnatural to devotees of the new lightweight software development methodologies, such as Extreme Programming [Beck99] These methodologies emphasize writing the simplest program that could possibly work If you're using one of these methodologies, you'll find that a focus on API design serves you well in the refactoring process The fundamental goals of refactoring are the improvement of system structure and the avoidance of code duplication These goals are impossible to achieve in the absence of well-designed APIs for the components of the system No language is perfect, but some are excellent I have found the Java programming language and its libraries to be immensely conducive to quality and productivity, and a joy to work with I hope this book captures my enthusiasm and helps make your use of the language more effective and enjoyable Joshua Bloch Cupertino, April 2001 California.

Standard GAs use populations where all individuals are of the same xed size For an nx -dimensional search space, a standard GA nds a solution through application of the evolutionary operators to the complete nx -dimensional individuals It may happen that good individuals are found, but some of the genes of a good individual are nonoptimal It may be di cult to nd optimal allele for such genes through application of crossover and mutation on the entire individual It may even happen that crossover looses optimized genes, or groups of optimized genes Goldberg et al [321, 323, 324] developed the messy GA (mGA), which nds solutions by evolving optimal building blocks and combining building blocks Here a building block refers to a group of genes In a messy GA individuals are of variable length, and speci ed by a list of position-value pairs The position speci es the gene index, and the value speci es the allele for that gene These pairs are referred to as messy genes As an example, if nx = 4, then the individual, ((1, 0)(3, 1), (4, 0)(1, 1)), represents the individual 0 10 The messy representation may result in individuals that are over-speci ed or underspeci ed The example above illustrates both cases The individual is over-speci ed because gene 1 occurs twice It is under-speci ed because gene 2 does not occur, and has no value assigned Fitness evaluation of messy individuals requires strategies to cope with such individuals For over-speci ed individuals, a rst-come- rst-served approach is followed where the rst speci ed value is assigned to the repeating gene For under-speci ed individuals, a missing gene s allele is obtained from a competitive template The competitive template is a locally optimal solution As an example, if 1101 is he template, the tness of 0 10 is evaluated as the tness of 0101 The objective of mGAs is to evolve optimal building blocks, and to incrementally combine optimized building blocks to form an optimal solution An mGA is implemented using two loops as shown in Algorithm 98 The inner loop consists of three steps: Initialization to create a population of building blocks of a speci ed length, nm Primordial, which aims to generate small, promising building blocks Juxtapositional, to combine building blocks The outer loop speci es the size of the building blocks to be considered, starting with the smallest size of one, and incrementally increasing the size until a maximum size is reached, or an acceptable solution is found The outer loop also sets the best solution obtained from the juxtaposition step as the competitive template for the next iteration.

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