Scheduling and multicriteria optimisation theory have been subject, separately, to numerous studies. Since the last twenty years, multicriteria scheduling problems have been subject to a growing interest. However, a gap between multicriteria scheduling approaches and multicriteria optimisation field exits. This book is an attempt to collect the elementary of multicriteria optimisation theory and the basic models and algorithms of multicriteria scheduling. It is composed of numerous illustrations, algorithms and examples which may help the reader in understanding the presented concepts. This book covers general concepts such as Pareto optimality, complexity theory, and general method for multicriteria optimisation, as well as dedicated scheduling problems and algorithms: just-in-time scheduling, flexibility and robustness, single machine problems, parallel machine problems, shop problems, etc. The second edition contains revisions and new material.

Over the last three decades, knowledge on the molecular biology of human cancers has vastly expanded. A host of genes and proteins involved in cancer development and progression have been defined and many mechanisms at the molecular, cellular and even tissue level have been, at least partly, elucidated. Insights have also been gained into the molecular mechanisms underlying carcinogenesis by chemical, physical, and biological agents and into inherited susceptibility to cancer.

As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.

As running a corporate or government or not-for-profit?enterprise becomes increasingly complicated, more sophisticated approaches are needed to implement strategy and measure performance. Purely financial evaluations of performance, for example, no longer suffice in a world where intangible assets?relationships and capabilities increasingly determine the prospects for success. Kaplan, a Harvard Business School professor of accounting, and Norton, president of Renaissance Solutions, make a key contribution by describing and illustrating the balanced scorecard, a multidimensional approach to measuring corporate performance that incorporates both financial and non-financial factors. The concept of a balanced scorecard originated in a study group of 12 companies that met throughout 1990; since then, the authors have worked with several companies, including FMC Corporation, Brown & Root Energy Services, Mobil and CIGNA, to create scorecards and use them as a systematic means to implement new organizational strategy. Though still in the preliminary stages of development, balanced scorecards could represent the emergence of a new era of management sophistication, in which both the hard and soft variables of work life are taken into account in a rigorous, testable fashion. Kaplan and Norton provide an excellent, though dry, introduction to a new methodology of management.