In this paper, we deal with the Job-shop with Multi-Purpose Machine scheduling problem with Availability Constraints (JMPMAC). In the first part, we propose a heuristic, based on priority rules to solve the assignment problem. A local search algorithm is then introduced to improve this assignment solution. In the second part, we introduce a genetic algorithm to solve the sequencing problem. Fin...

We need an efficient channel assignment algorithm for increasing channel re-usability, reducing call-blocking rate and reducing interference in any cellular systems with limited bandwidth and a large number of subscribers. We propose an efficient hybrid genetic algorithm for a fixed channel assignment problem with limited bandwidth constraint. The proposed GA finds a good sequence of codes for ...

This thesis describes the development and application of machine learningbased methods for the prediction of alpha-helical transmembrane protein structure from sequence alone. It is divided into six chapters. Chapter 1 provides an introduction to membrane structure and dynamics, membrane protein classes and families, and membrane protein structure prediction. Chapter 2 describes a topological s...

An optimization approach to control reconnguration, based on eigenstructure assignment , for control systems with output feedback is presented. The emphasis is on the recovery of the nominal closed-loop performance, which is determined by the closed-loop eigenvalues and eigenvectors. The proposed scheme preserves the max(r; q) most dominant eigenvalues of the nominal closed-loop system and dete...

This paper presents the results of integrating hands-on experience in an engineering MSc course on human-machine systems. Students could voluntarily complete a homework assignment in which they performed manual control tasks using dedicated software. The tasks were accompanied by questions that students had to answer using the theory taught in the lectures. The lecturer processed the students’ ...

Reliable prediction of model accuracy is an important unsolved problem in protein structure modeling. To address this problem, we studied 24 individual assessment scores, including physics-based energy functions, statistical potentials, and machine learning-based scoring functions. Individual scores were also used to construct approximately 85,000 composite scoring functions using support vecto...

In today’s competitive world, manufacturers have realized that they need to embrace automation as their mantra to success. However, the impact of automation primarily concerns with the effectiveness of process monitoring and control systems. There is a need for a closed loop supervisory system, which integrates and coordinates individual process modules for real-time adjustment, conflict resolu...

Let G be a finite group. For a based G-space X and a Mackey functor M , a topological Mackey functor X e ⊗M is constructed. When X is a based G-CW complex, X e ⊗M is shown to be an infinite loop space in the sense of G-spaces. This gives a version of the RO(G)-graded equivariant Dold-Thom theorem. Applying a variant of Elmendorf’s construction, we get a model for the Eilenberg-Mac Lane spectrum...