Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

الموضوعات: احصل على النص الكامل

Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function حسب Mujahid, S.N.

احصل على النص الكامل

Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function حسب Duffuaa, S. O.

احصل على النص الكامل

Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function حسب Boukas, EK

احصل على النص الكامل

Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

احصل على النص الكامل

Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

احصل على النص الكامل

A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
احصل على النص الكامل

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

احصل على النص الكامل
احصل على النص الكامل

Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm حسب Zerguine, A.

"…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …"
احصل على النص الكامل
احصل على النص الكامل

Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. The optimization is applied to a formulated cost function that considers uncertainty, false alarms, and existing clutters. …"
احصل على النص الكامل

Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

"…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …"
احصل على النص الكامل

ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation حسب Said Mahfoud (17150968)

"…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …"

Adaptive step-size sign least mean squares حسب Aldajani, M.A.

"…A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. …"
احصل على النص الكامل
احصل على النص الكامل

A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

"…Three objective functions are considered to minimize costs, noise pollutions, and the harassment caused by the establishment of a hub for people, a new objective that locates hubs in less populated areas. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…The goal is to select a set of sensors based on norms of weighted distances cost function. The norms are the Euclidean distance and the Mahalanobis distance between the drone location and the sensors. …"
احصل على النص الكامل

Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines حسب Haddad, Abdul Rahim

احصل على النص الكامل

Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids حسب Khayata, Mohammad Tarek

احصل على النص الكامل

Distributed optimal coverage control in multi-agent systems: Known and unknown environments حسب Mohammadhasan Faghihi (22303057)

"…The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"

Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
احصل على النص الكامل
احصل على النص الكامل

Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning حسب Sait, Sadiq M.

"…Fuzzy rules are incorporated in order to handle the multiobjective cost function. For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient. …"
احصل على النص الكامل