In this paper we address the classical hybrid flow shop scheduling problem with makespan
objective. As this problem is known to be NP-hard and a very common layout in real-life …

This paper presents innovative algorithms combining Jaya optimizer, salp swarm algorithms
and (least-squares) support vector machines for simulating the temperature effect accurately …

Because innovative and creative design is essential to a successful product, this work brings
the benefits of generative design in the conceptual phase of the product development …

Optimization makes processes, systems, or products more efficient, reliable, and with better
outcomes. A popular topic on optimization today is multiobjective bilevel optimization …

In the realm of hybrid flow shop environments, existing literature predominantly overlooks a
practical scenario that jobs with different constraints often need to be simultaneously …

A dynamic parameter inverse analysis process for concrete dams based on Gaussian
process regression and Jaya algorithm is presented. Gaussian process regression is used …

Research on the development of Pareto-based multi-objective algorithms to address
scheduling problems has attracted a lot of attention in recent years. In this work, a multi …

This paper presents an effective multi-objective Jaya (EMOJaya) algorithm to solve a multi-
objective job-shop scheduling problem, aiming to simultaneously minimise the makespan …

Food drying is a critical process in food preservation, directly impacting the quality, energy
consumption, and environmental sustainability of the final product. Traditional optimization …

In this digital era, millions of Internet users are contributing vast amounts of data in the form
of unstructured text documents. Organizing this material is a tedious task. The clustering of …