Large industrial sites commonly contain multiple production and utility systems. In practice,
integrated optimization is often not possible because the necessary complete information …

In this paper, two new algorithms for dual decomposition-based distributed optimization are
presented. Both algorithms rely on the quadratic approximation of the dual function of the …

This paper considers the problem of steady-state optimal resource allocation in an industrial
symbiosis, where different companies share common resources. Such optimal resource …

Energy-intensive production sites are often supplied with energy by on-site energy systems.
Commonly, the scheduling of the systems is performed sequentially, starting with the …

This paper presents a mixed-integer linear programming-based optimization model for
simultaneous optimal load control and scheduling of distributed systems coupled through …

This paper presents a hierarchical distributed optimization algorithm based on quasi-
Newton update steps. Separable convex optimization problems are decoupled through dual …

Die wichtigste Maßnahme zur Verminderung des Klimawandels ist die Reduzierung der
Treibhausgasemissionen. Eine Schlüsselrolle hierbei spielt die energieintensive Industrie …

This paper considers the problem of steady-state optimal resource allocation in an industrial
symbiotic oil production network, or in general, a large-scale oil production system network …

This paper presents a dual decomposition-based distributed optimization algorithm and
applies it to distributed model predictive control (DMPC) problems. The considered DMPC …

Abstract The Butterfly Optimization Algorithm (BOA) is used widely in the field of optimization
due to its proven effectiveness. However, the algorithm has certain limitations such as poor …