Advances in Evolutionary Algorithms: Theory, Design and Practice The goal of this book is to develop efficient optimization algorithms to solve diverse real-world problems of graded difficulty. Genetic and evolutionary mechanisms have been deployed for reaching the goal.
This book has made five significant contributions in the realm of genetic and evolutionary computation (GEC).
Quantum Gravitation: The Feynman Path Integral Approach The book covers the theory of Quantum Gravitation from the point of view of Feynman path integrals. These provide a manifestly covariant approach in which fundamental quantum aspects of the theory such as radiative corrections and the renormalization group can be systematically and consistently addressed. The path integral method is suitable for...
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