Interactive preferences in multiobjective ant colony optimisation for assembly line balancing

Interactive preferences in multiobjective ant colony optimisation for assembly line balancing

In this contribution, we propose an interactive multicriteria optimisation framework for the time and space assembly line balancing problem. The framework allows decision maker interaction by means of reference points to obtain the most interesting non-dominated solutions. The principal components of the framework are the g-dominance preference scheme and a state-of-the-art memetic multiobjecti...

Incorporating Preferences to a Multi-objective Ant Colony Algorithm for Time and Space Assembly Line Balancing

C metric boxplots and real values Fig. 1. C metric values represented by means of boxplots comparing the different algorithms .

Ant Colony Optimisation for multi-level assembly job shop scheduling

Job shop scheduling is one of the most explored areas in the last few decades. Although it is very commonly witnessed in real-life situations, very less investigation has been carried out in scheduling operations of multi-level jobs, which undergo serial, parallel, and assembly operations in an assembly job shop. In this work, some of the dispatch rules, which have best performances in scheduli...

Interactive Ant Colony Optimisation (iACO) for Early Lifecycle Software Design

Software design is crucial to successful software development, yet is a demanding multi-objective problem for software engineers. In an attempt to assist the software designer, interactive (i.e. human in-the-loop) meta-heuristic search techniques such as evolutionary computing have been applied and show promising results. Recent investigations have also shown that Ant Colony Optimization (ACO) ...

Supply chain optimisation with assembly line balancing