The multiobjective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multiobjective optimization problem into a number of sing-objective subproblems and solves them collaboratively. Since its introduction, MOEA/D has gained increasing research interest and has become a benchmark for validating new designed algorithms. Despite that, some recent studies have revealed that MOEA/D...

This paper compares the performance of our recently proposed threshold based penalty function against its dynamic and adaptive variants. These penalty functions are incorporated in the update and replacement scheme of the multiobjective evolutionary algorithm based on decomposition (MOEA/D) framework to solve constrained multiobjective optimization problems (CMOPs). As a result, the capability ...

Many studies have explored the TCP throughput problem in DiffServ networks. Several new marking schemes have been proposed in order to solve this problem. Even if these marking schemes give good results in the case of per-flow conditioning, they need complex measurements. In this paper we propose a Penalty Shaper (PS) which is able to profile a set of TCP flows so as to improve its conformance ...

Recently, there has been a lot of interest around multi-task learning (MTL) problem with the constraints that tasks should share a common sparsity profile. Such a problem can be addressed through a regularization framework where the regularizer induces a joint-sparsity pattern between task decision functions. We follow this principled framework and focus on lp−lq (with 0 ≤ p ≤ 1 and 1 ≤ q ≤ 2) ...

The massive growth in online social networking has revitalized academic interest in the power of social contagion as a force for individual and collective action. Recent literature (Aral and Walker 2011a, Bapna and Umyarov 2015) has causally established that peer-effects are ‘atwork’ in the general population of users of online social networks. Having established the causal existence of peer ef...

In this paper, we study the call admission control (CAC) and routing issue in multi-service networks. Two categories of calls are considered: a narrow-band with blocked calls cleared and a wide-band with blocked calls delayed. The optimisation is subject to several quality of service (QoS) constraints, either on the packet or call level. The objective function is formulated as reward maximisati...

In this paper, we study the call admission control (CAC) and routing issue in multi-service networks. Two categories of calls are considered: a narrow-band (NB) with blocked calls cleared and a wide-band (WB) with blocked calls delayed. The objective function is formulated as reward maximisation with penalty for delay. The optimisation is subject to quality of service (QoS) constraints and, pos...

In this paper, we investigate a scheme in which the bandwidth-distance product of a multimode fiber is extended, so that it can nearly support the transmission rate of singlemode systems. Some pioneering work suggest that limited mode launch may improve the system performance by reducing the modal dispersion and increasing the system bandwidth. The scheme investigated in this paper is based on ...

We propose a class of numerical schemes for nonlocal HJB variational inequalities (HJBVIs) with monotone nonlinearities arising from mixed optimal stopping and control processes infinite activity jumps, where the objective is specified by recursive preference. The solution free boundary HJBVI are constructed sequence penalized equations, which penalization error estimated. equation then discret...

The fluid flow and heat transfer in a three-dimensional microchannel filled with Al2O3- water nanofluid is numerically investigated. The hybrid scheme is used to discretize the convection terms and SIMPLER algorithm is adopted to couple the velocity and pressure field in the momentum equations. The thermal and flow fields were analyzed using different volume fractions of n...