Modern Methods of Optimization
Singiresu S. Rao · 2019
In recent years, some optimization methods that are conceptually different from the traditional mathematical programming techniques have been developed. These methods are labeled as modern or nontraditional methods of optimization. Most of these methods are based on certain characteristics and behavior of biological, molecular, swarm of insects, and neurobiological systems. This chapter describes the following methods: genetic algorithms; simulated annealing; particle swarm optimization; ant colony optimization; fuzzy optimization; and neural-network-based methods. Most of these methods have been developed only in recent years and are emerging as popular methods for the solution of complex engineering problems. Most require only the function values (and not the derivatives). The genetic algorithms are based on the principles of natural genetics and natural selection. Simulated annealing is based on the simulation of thermal annealing of critically heated solids.