Metaheuristics is a class of approximate methods based on heuristics that can effectively handle real world (usually NP-hard) problems of high-dimensionality with multiple objectives. An existing multiobjective Tabu-Search (MOTS2) has been re-designed by and ported onto Compute Unified Device Architecture (CUDA) so as to effect ively deal with a scalable multi-objective problem with a range of ...

In this paper , we propose a novel sparse learning based feature selection method that directly optimizes a large margin linear classification model’s sparsity with -norm ( ) subject to data-fitt ing constraints, rather than using the sparsity as a regularizat ion term. To solve the d irect sparsity opt imizat ion p rob lem that is non-s mooth and non-convex when , we prov ide an efficient iter...

This paper presents a class of Newton-type algori thms fo r the optimization of robot motions that take in to account the dynamics. Using techniques f rom the theory of L ie groups and Lie algebras, the equations of mot ion of a rigid multibody sys tem can be formulated in such a way that both the f irst and second derivatives of the dynamic equations with respect t o arbitrary jo in t variable...

Assignment problem (AP) deals with the allocations of n-tasks to n-resources into a pattern in such way that the total decision parameter can be optimized. An assignment problem may appear as an optimizat ion problem with a mult iple objectives. In multi-objective assignment problem (MOAP), an important research concern with the study of efficient solution. In MOAP, the set of efficient solutio...

Headspace solid-phase microextraction (SPME) is a fast and simple sampling method for analysis of volatile compounds, but quantitation can be affected by sample matrix and sampling conditions. Sampling time and temperature are particularly important in controlling analyte response, and the effects vary for different compound classes and volatilities. Tests with model solutions containing a rang...

Artificial bee colony optimization (ABC) is a fast and robust algorithm for global optimization. It has been widely used in many areas including mechanical engineering. Biogeography -Based Optimizat ion (BBO) is a new biogeography inspired algorithm. It mainly uses the biogeography-based migration operator to share the information among solutions. In this work, a hybrid algorithm with BBO and A...

W e present the design ami implementation of a real-time computer vision syslem for a rotor-craft unmanned aerial vehicle to land onto a known landing target. This vision system consists of customized software and off-the-shelf harc!ware which perform image processing, segmentation, feature point extraction, camera pan/tilt control, and mot ion estimation. W e introduce the design of a landing ...

Surveillance tests are performed periodically on standby systems of a Nuclear Power Plant (NPP), as they improve the systems‘ availability on demand. High availability of safety crit ical systems is very essential to NPP safety, hence, carefu l analysis is required to schedule the surveillance activ ities for such systems in a cost effective way without compromising the plant safety. This forms...

Field Programmable Gate Arrays (FPGAs) are widely used for implementation of dig ital system design due to their flexibility, low time-to-market, growing density and speed. But the Power consumption, especially leakage and dynamic power has become a major concern for semiconductor industries. FPGAs are less power-efficient than custom ASICs, due to the overhead required to provide programmabili...