Most complex scheduling problems are combinatorial problems and difficult to solve. That is why, several methods focus on the optimization according to a single criterion such as makespan, workloads of machines, waiting times, etc. In this paper, the Choquet integral is introduced as a general tool for dealing with multiple criteria decision making and used in optimization flexible job-shop sch...

This paper proposes a simplified QR-based selection criterion for the efficient optimization of multiple-input multiple-output (MIMO) precoding in a limited feedback system. The proposed selection criterion is developed which determines the precoder yielding the maximum of minimum diagonal entries of the upper triangular matrix of the QR-decomposition on the MIMO channel. Performance evaluation...

This paper presents a joint selection criterion for optimal trajectory planning using dynamic programming along a specified geometric path subject to torque and velocity constraints. A single non-stationary joint is normally considered for optimization purpose. In case of more than one non-stationary joints, the optimization by selecting any joint at random may end up with a non-optimal solutio...

This article investigates a JIT single machine scheduling problem with a periodic preventive maintenance. Also to maintain the quality of the products, there is a limitation on the maximum number of allowable jobs in each period. The proposed bi-objective mixed integer model minimizes total earliness-tardiness and makespan simultaneously. Due to the computational complexity of the problem, mult...

In this paper we propose a blind interference cancellation (IC) receiver for asynchronous direct-sequence code-division multiple-access (DSCDMA) systems using a maximum mean energy (MME) optimization criterion. The simulation results show that this scheme offers performance gains over the well known blind receiver that is based on the minimum mean squared error (MMSE) optimization criterion. Ou...

Hsiao, M.-T.T. and A.A. Lazar, Optimal decentralized flow control of Markovian queueing networks with multiple controllers, Performance Evaluation 13 (1991) 181-204. A Markovian queueing network model is used to derive decentralized flow control mechanisms in computer communication networks with multiple controllers. Under the network optimization criterion, finding the optimal decentralized fl...

In this article, a multiple surrogate-model-based optimization method using the multimodal expected improvement criterion (MSMEIC) is proposed. MSMEIC, an important region first identified and used alternately with whole space. Then, in each iteration, three common surrogate models, kriging, radial basis function (RBF), quadratic response surface (QRS), are constructed, multipoint (EI) that sel...

Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different formulations of objectives and varying regularization strategies. In this paper we present a unifying general optimization criterion for multiple kernel learning and show how existing formulations are subsumed as special...

Packet Radio networks are to provide data communications among a set of nodes distributed over a wide region. Transmission from nodes is broadcast in nature. Where direct communication between two nodes is not possible, connection is established in multiple hops. A time division multiple access (TDMA) protocol is adopted for conflict free communication among different nodes. The goal is to find...