ABSTRACT
Evolutionary Optimization Algorithms (EOA) have been applied to a variety of problems in recent years. There has been a surge in the number of EOAs being published over the years. The performance of these EOAs can be tested against standard Optimization Functions. This chapter introduces some of the most commonly used standard Optimization Functions. The search space presented by these optimization functions is also shown through a number of figures. For some optimization functions, tables are used to represent a two-dimensional search space. Detailed stepwise numerical solution to one of the optimization functions is also presented for better understanding. Traveling salesman problem is introduced and discussed along with the listing of its variants. Hill Climbing problem is as well introduced and discussed in detail. The variants are explained and solved with an example. Algorithms for these hill climbing variants are also presented.
