Abstract: The rapid advancements in science and technology aggravate the need for the optimal design of modern systems, aiming to achieve the maximum system reliability while meeting some resource constraints (e.g., cost, weight, etc). In this paper, we consider the system reliability optimization for series-parallel systems subject to commoncause failures (CCF). Unlike traditional approaches t...

The goal of the present work was assess the feasibility of using a pseudo-inverse and null-space optimization approach in the modeling of the shoulder biomechanics. The method was applied to a simplified musculoskeletal shoulder model. The mechanical system consisted in the arm, and the external forces were the arm weight, 6 scapulo-humeral muscles and the reaction at the glenohumeral joint, wh...

Local performance optimization for joint limit avoidance and manipulability maximization (singularity avoidance) is obtained by using the Jacobian matrix pseudoinverse and by projecting the gradient of an objective function into the Jacobian null space. Real-time redundancy optimization control is achieved for an eight-joint redundant manipulator having a three-axis spherical shoulder, a single...

Text summarization is a process for creating a concise version of document(s) preserving its main content. In this paper, to cover all topics and reduce redundancy in summaries, a two-stage sentences selection method for text summarization is proposed. At the first stage, to discover all topics the sentences set is clustered by using k-means method. At the second stage, optimum selection of sen...

We present a technique for redundancy elimination in multiplierless linear systems, such that the critical path of the computations is not increased. To the best of our knowledge this is the only method that combines common subexpression elimination and delay optimization in one single step. We assume that all the constant multiplications are decomposed into additions/subtractions and shift ope...

Muscles crossing a joint usually outnumber its degrees of freedom, which renders the motor system underdetermined. Typically, optimization laws are postulated to cope with this redundancy. A natural question then arises whether all muscular load sharing patterns can be regarded as results of optimization. To answer it we propose a method of constructing an objective function whose minimization ...

We present an algorithm for the conversion of very weak alternating Büchi automata into nondeterministic Büchi automata (NBA), and we introduce a local optimization criterion for deleting superfluous transitions in these NBA. We show how to use this algorithm in the translation of LTL formulas into NBA, matching the upper bounds of other LTL-to-NBA translations. We compare the NBA resulting fro...

The optimization of trajectories and actuator torques for a dual arm manipulation system is considered. Given the starting and nal conngurations, we nd the trajectories that minimize (a) the integral of the norm of the vector of derivatives of the actuator forces; and (b) the integral of the norm of the actuator forces. In this way both kinematic and actuator redundancy are resolved. The optimi...

We address the redundancy allocation of a series repairable system with multiple k-out-of-n subsystems with each subsystem following shut-off rule. The objective of the problem is to find the optimal number of repairmen and redundant components in each subsystem for optimization of steady-state availability subject to weight, cost and volume constraints. We propose a Particle Swarm Optimization...

Biogeography-Based Optimization (BBO) is a recently conceived bio-inspired optimization technique and population based evolutionary algorithm (EA). It mainly uses the idea of probabilistically sharing features between solutions based on the solutions’ fitness values. Due to this feature, its exploitation ability is good. In this paper, we have demonstrated the performance of BBO for block motio...