This paper integrates non-orthogonal multiple access (NOMA) and over-the-air federated learning (AirFL) into a unified framework using one simultaneous transmitting reflecting reconfigurable intelligent surface (STAR-RIS). The STAR-RIS plays an important role in adjusting the decoding order of hybrid users for efficient interference mitigation omni-directional coverage extension. To capture imp...

an interactive heuristic approach can offer a practical solution to the problem of linear integer programming (lip) by combining an optimization technique with the decision maker’s (dm) judgment and technical supervision. this is made possible using the concept of bicriterion linear programming (blp) problem in an integer environment. this model proposes two bicriterion linear programs for iden...

This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in multiple antennas non-orthogonal access (NOMA) network with multi-carrier multi-user setup. To this end, we formulate joint design, subcarrier allocation, user association, SIC algorithm to maximize the worst-case energy efficiency (EE). The formulated problem is non-convex mixed integ...

In a highly competitive scenario, suppliers play a vital role in making a business organization successful. Business of any organization is continuous process and therefore the supplier selection is also dynamic in nature. This is quite natural as the organization’s demand; supplier’s capacity, quality level, lead time, unit part cost and fixed transportation cost of supplier varies with time. ...

This thesis deals with the development of mathematical models and algorithms for optimizing refinery crude-oil operations schedules. The problem can be posed as a mixed-integer nonlinear program (MINLP), thus combining two major challenges of operations research: combinatorial search and global optimization. First, we propose a unified modeling approach for scheduling problems that aims at brid...

This paper presents a new approach for the simultaneous synthesis and optimization of heat integrated water networks. A new superstructure for heat exchanger network (HEN) synthesis is proposed. The procedure is based onmixed integer non-linearmathematical programming (MINLP). Four relevant examples are presented to illustrate various aspects of the proposed approach. © 2008 Elsevier Ltd. All r...

abstract it is the purpose of this article to introduce a linear approximation technique for solving a fractional chance constrained programming (cc) problem. for this purpose, a fuzzy goal programming model of the equivalent deterministic form of the fractional chance constrained programming is provided and then the process of defuzzification and linearization of the problem is started. a samp...

We present a specialized branch-and-bound (b&b) algorithm for the Euclidean Steiner tree problem (ESTP) in R and apply it to a convex mixed-integer nonlinear programming (MINLP) formulation of the problem, presented by Fampa and Maculan. The algorithm contains procedures to avoid difficulties observed when applying a b&b algorithm for general MINLP problems to solve the ESTP. Our main emphasis ...

A campus based smart micro grid model that combined power and heat is presented. In this study, optimal scheduling of distributed generations inside these smart micro grids is determined based on demand forecasting, solar power forecasting and wind power forecasting by artificial neural network (ANN). The proposed model is then evaluated through economical efficiency, environment efficiency and...