Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine ...

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

Our inclusion of skewness and kurtosis makes portfolio optimization a nonlinear, nonconvex and multi-objective problem; this has been solved with the use of a genetic algorithm. Empirical results ...

Some scientists believe the theory’s natural selection mechanics and inheritance principles are applicable to many fields outside of the life sciences. One of those scientists, John Henry Holland, ...

Feng Yan, Saihong Zhu, Optimization of Energy Consumption of Coastal Green Public Buildings Based on Genetic Algorithm, Journal of Coastal Research, SPECIAL ISSUE NO. 103. Global Topics and New Trends ...

This paper presents a comparative study of Z-N method and Genetic Algorithm method (GA) to determine the optimal Proportional-Integral-Derivative (PID) controller parameters, for speed control of ...

To find the optimal pumping scheme, resulting in the maximum interface length, a genetic algorithm was utilized, which is based upon the biological concept of “survival of the fittest”. The most ...

Lysa Porth, Jeffrey Pai, Milton Boyd, A Portfolio Optimization Approach Using Combinatorics With a Genetic Algorithm for Developing a Reinsurance Model, The Journal of Risk and Insurance, Vol. 82, No.