Nature-Inspired Optimization Algorithms

12

A Framework for Self-Tuning Algorithms

Abstract

The performance of any algorithm largely depends on the setting of its algorithm-dependent parameters. The optimal setting should allow the algorithm to achieve the best performance for solving a range of optimization problems. However, such parameter tuning is itself a tough optimization problem. In this chapter, we present a framework for self-tuning algorithms so that an algorithm to be tuned can be used to tune the algorithm itself.

Keywords

Framework

Self-organization

Parameter tuning

Self-tuning algorithm

Optimization

The performance of any algorithm will largely depend on the setting of its algorithm-dependent parameters. The optimal setting should allow the algorithm to achieve the ...