In this chapter, you will broaden your horizons and discover several new problem-solving and optimization techniques related to genetic algorithms. Two different techniques of this extended family – genetic programming and particle swarm optimization – will be then demonstrated by implementing problem-solving Python programs. Finally, we will provide a brief overview of a number of other related computation paradigms.
This chapter will cover the following topics:
- The evolutionary computation family of algorithms
- Understanding the concepts of genetic programming and how they differ from genetic algorithms
- Using genetic programming to solve the even parity check problem
- Using particle swarm optimization to optimize Himmelblau's function
- Understanding the principles behind several other evolutionary and...
