Abstract
One of the most common scheduling classes in the industry is Flow Shop Scheduling Problem
(FSP). Given a set of jobs that must be completed in a series of identical stages, each stage is performed by a
single machine. The goal of the FSP is to find a series of jobs that meets specific optimization criteria. Multiobjective FSP (MOFSP) is an FSP with more than one optimization target. This study investigates the MOFSP
solution using two variants of the Whale Optimization Algorithm technique, namely the basic Whale
Optimization Algorithm (WOA) and an improved Whale Optimization Algorithm (I-WOA). The objective
criteria are makespan and total flow time. This study aims to examine the performance of WOA and I-WOA and
determine how the weight ratio of optimization criteria affects each method. Several experiments were
conducted using the Taillard Benchmark, and it was concluded that in general, WOA outperforms I-WOA, and
the best weight ratio is makespan:total flow time is 75:25.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2022 |
| Published in Issue | Year 2022 |
