This paper introduces evolutionary algorithms with its applications in multi-objective optimization. Here elitist and non-elitist multiobjective evolutionary algorithms are discussed with their advantages and disadvantages. We also discuss constrained multiobjective evolutionary algorithms and their applications in various areas.

As biologists have recognized since Aristotle, there are two complementary ways of looking at organisms: one can think of them from the viewpoint of homology, asking about the isomorphisms between different organisms and even within the organisms themselves; or one can think of them from the viewpoint of adaptation or final cause, asking about the…

I describe a quantitative approach to three case studies in evolution that can be used to challenge college freshmen to explore the power of natural selection and ask questions that foster a deeper understanding of its operation and relevance. Hemochromatosis, the peppered moth, and hominid cranial capacity are investigated with a common algebraic…

In tight economic times, the concerns and issues of science, viewed as not having enough practical value, can get pushed aside. But the top science books of 2008 demonstrate how science more often than not pays for itself. What's more practical than food (Tomorrow's Table), health (Our Daily Meds), the environment (The Hot Topics), or even--sex…

Discusses the development of high-level thinking skills and how learning occurs with example studies from literature. Describes the relationship between animal and human cognition, and identifies levels of human understanding which include somatic, mythic, romantic, philosophic, and ironic understanding. (Contains 22 references.) (YDS)