Multi-Objective Decision and Control Systems

Dear Colleagues,

In today’s world of multitasking and multiplexing, compactness in processes and systems, complex and cascaded decision making, often premised on growing levels of inter and intra-connectedness and integrated-ness of system elements, the problem of domain bothering around complex decision making and management is being challenged from an analytical viewpoint. A wide range of the human corporation forms the interest herein spanning across such sectors as manufacturing, transportation, security, supply chain, education, energy systems, environmental management, Internet of Things, and artificial intelligence centric applications amongst several others.

Sequel to the above, it becomes obvious that multi-objective decision making is inevitable for effectiveness in real world problem solving. The deployment of computational schemes premised on analytical or numerical methods in multi-objective decision making provides a viable degree of solution objectivity for effective planning and evaluation of outcomes in multi-objective decision making. Decision making very often comes with its own challenges. One notable challenge associated with decision making is the need to occasionally choose from a set of alternative solutions with certified resourceful potentials. Based on this, the concept of control systems covering the use of control units and non-perturbing models to effect limits and constraints in multi-objective decision making becomes non-negotiable. The ability to conduct a management process within the confines of constraining variables and parameters can significantly impact on the outcome of the overall decision making exercise. Furthermore, it should be noted that all multi-objective focused systems at some point in their life cycle, will naturally attempt to overshoot their top boundaries or seek to deteriorate below the lower limits of the system. Hence, the need for an effective control system for the attainment of desired management outcomes can only be of utmost priority.

The main goal of this Special Issue is to foster the use of analytical and computational techniques in multi-objective decision making and control. This is expected to address the development or adaptation and deployment of novel approaches in the management of complex processes, corporates and systems, machines, interacting physical and virtual entities in the human enclave in a bid to foster their overall performance and sustainability over time.

Dr. Michael K.O. Ayomoh
Dr. Isaac O. Osunmakinde
Dr. Olugbenga Moses Anubi
Guest Editors

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• multi-objective decision making
• analytical methods
• numerical methods
• multi-objective optimisation methods
• management processes
• control systems in decision making
• multi-constrained systems
• multilayered decision processes
• decision support modelling