An Improved Genetic Algorithm using Fuzzy Function in Fitness Calculation for Automatic Waste Pit Crane Control

Abstract

Stable combustion for long periods of time is required in waste incineration facilities to achieve stable power generation and emission control. The crane operator aims to 1) keep the waste pit flat for safe crane operation, and 2) “mix” the waste several times using the crane, in order to break the plastic waste bag and homogenize the waste before combustion. In this research, we developed an automatic crane operation scheduler and waste pit simulator. We proposed an improved genetic algorithm for time-series optimization in crane operation scheduling. A fuzzy function was used for the fitness calculation in the genetic algorithm to evaluate the created crane operation schedule.