Titlebook: Swarm Intelligence for Multi-objective Problems in Data Mining; Carlos Artemio Coello Coello,Satchidananda Dehuri, Book 2009 Springer-Verl

头盔

Augusto de Almeida Prado G. Torácio Western civilization. Ulysses was a part of the heritage that nourished all of us. As children, none of us identified with the Cyclops. He was the “other” in us, the shadowy part of our psyche, the monster within in whose defeat we saw our victory. The struggle between Ulysses and Polyphemus was a

Banquet

Seyed-Hamid Zahiri,Seyed-Alireza Seyedinccounts of medieval Europe. The passage of the island into Christian hands has typically been presented as a positive—almost joyful—event, and the Normans have been portrayed as liberators in the narratives of medieval chroniclers such as William of Apulia, Geoffrey Malaterra, and Amatus of Montecas

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知识

Satchidananda Dehuri,Carlos A. Coello Coello,Sung-Bae Cho,Ashish Ghoshnungsfeld aus der Perspektive der jungen Menschen in den Blick genommen und der Frage nachgegangen, inwiefern Intensivmaßnahmen für die jungen Menschen zu Erziehungsorten werden können. Mit Bezug auf den Capabilities-Approach ist die Frage erkenntnisleitend, inwiefern Intensivmaßnahmen zu einer Erweiterung de978-3-658-37408-2978-3-658-37409-9

英寸

合唱团

Lisa Osadciw,Nisha Srinivas,Kalyan Veeramachaneniin the understanding of the natural history and epidemiology of sickle cell anemia during the last century, significant gaps, discussed in this chapter, still remain, highlighting the need for further research to better prevent the adverse consequences of this disease.

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初学者

An Introduction to Swarm Intelligence for Multi-objective Problems, multi-objective problems in data mining and knowledge discovery in databases. Besides providing a general overview of the field, we identify some of the multiple criteria which are tightly/loosely coupled in various steps of knowledge discovery and data mining, aiming to direct the attention of res

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capsule

Multiobjective Particle Swarm Optimization in Classification-Rule Learning,obtain a set of the best classification rules as an alternative way to cover algorithms, avoiding the loss of quality of the rules. The best rules are memorized in an unordered classifier, based on the concept of Pareto dominance, which permits the selection of rules with several characteristics tha