Low carbon manufacturing has received increasingly more attention in the context of global warming. The flexible job shop scheduling problem (FJSP) widely exists various processes. Researchers have always emphasized efficiency and economic benefits while ignoring environmental impacts. In this paper, considering emissions, a multi-objective (MO-FJSP) mathematical model with minimum completion time, emission, machine load is established. To solve problem, we study six variants non-dominated...

Network traffic classification based on machine learning is an important branch of pattern recognition in computer science. It a key technology for dynamic intelligent network management and enhanced controllability. However, the methods still facing severe challenges: The optimal set features difficult to determine. method highly dependent effective characteristic combination. Meanwhile, it also balance experience risk generalization ability classifier. In this paper, improved model support...

Evolutionary Algorithms (EAs) based Unmanned Aerial Vehicle (UAV) path planners have been extensively studied for their effectiveness and high concurrency. However, when there are many obstacles, the can easily violate constraints during evolutionary process. Even if a single waypoint causes few constraint violations, algorithm will discard these solutions. In this paper, planning is constructed as multi-objective optimization problem with in three-dimensional terrain scenario. To solve an...

Based on two fractional-order chaotic complex drive systems and one response system with different dimensions, we propose generalized combination synchronization. In this new synchronization scheme, there are scaling matrices that non-square matrices. On the basis of stability theory linear systems, design a general controller via active control. Additionally, by virtue matrices, between real is investigated. Finally, three typical examples given to demonstrate effectiveness feasibility schemes.

Joint spectral and spatial information processing is an effective means to improve the classification accuracy of hyperspectral remote sensing images. The Markov random field (MRF) a powerful tool for integrating contextual into framework. However, shallow structure MRF cannot fully exploit imagery. In this article, cascaded model proposed combine benefit model. consists mainly two phases. first phase, predicted probability vector generated by support machine classifier combined. Then,...

Abstract The ideation process has a significant impact on the initial concept generation and final product creativity of design. Visual stimuli play an important role in innovative With increase computing capability, generative design methods are widely implemented. In this paper, features targets combinational objects 2 tasks fused using adversarial neural networks to form generated stimuli. It is also used with object pictures investigate ideation. study invited designers use subjectively...

For most of differential evolution (DE) algorithm variants, premature convergence is still challenging. The main reason that the exploration and exploitation are highly coupled in existing works. To address this problem, we present a novel DE variant can symmetrically decouple during optimization process paper. In algorithm, whole population divided into two symmetrical subpopulations by ascending order fitness each iteration; moreover, divide stages according to number evaluations (FEs). On...

We consider a discrete memoryless joint source-channel setting. In this setting, if source sequence is reconstructed with distortion below some threshold, we declare success event. prove that for any scheme, threshold lower (better) than the optimum average distortion, then probability approaches zero as block length increases. Furthermore, show has an exponential behavior, and evaluate optimal exponent. Surprisingly, best behavior attainable by separation-based scheme.

In this paper, we present an iterative learning control (ILC) frameworks for robust path-tracking problem of nonholonomic mobile robots in the presence initial shifts. The major difficulties are owning to simultaneous existence state disturbances and biased robot kinematic system. To design ILC strategy such problem, a new scheme is proposed as combination rectifying term feedback-aided P-type algorithm. Sufficient conditions convergence approach given global proved. Simulation results also...

This paper proposes a novel strategy for large workpieces assembly task based on hybrid impedance control algorithm. It is ineluctable the manipulator's end-effector to track desired trajectory with errors resulted from uncertain conditions during process, so algorithm widely used ensure smooth assembly. It's difficult analyze contact states and extra moment caused by force not conducive insertion workpiece. In introduced both compliant motion direct are achieved that workpiece in uniform...

We revisit old and recent "dispersion" theorems for lossless lossy source coding, channel coding joint source-channel showing that they can be proven in a general unified framework. In all of these cases, an error (or excess distortion) event occurs, to the level interest asymptotic analysis, if some function empirical distribution crosses threshold. Thus, second order analysis functions distributions is studied, technical result which allows prove various dispersion derived.

Community blogging is a medium for publishing daily journals, expressing opinions or ideas, and sharing knowledge. Blogging has high impact on marketing, shaping public opinions, informing the world about major events from grassroots point of view. However, turnover in online very high, with most people who initially join start contributing to community, failing contribute long run.

This paper considers the scheduling and resource allocation with adaptive modulation in downlink coordinated multi-point transmission (CoMP) systems, where multiple users are served via zero-forcing precoding simultaneously by several cooperative base stations (BSs). The joint to maximize sum rate is formulated as a combinational optimization problem under constraints. As searching space for this extremely large, which prohibits an exhaustive search (ES), genetic algorithm (GA) based...

The majority studies on resource allocation are based continuous power allocation. However, the transmit can be assumed as a finite set of discrete levels only, especially for practical digital cellular systems. By simply rounding up or down, conventional algorithm will not suffice. In this paper, via transmitting signal levels, multi-cell is modeled combinatorial optimization problem, which proved to NP-hard. Ant colony (ACO) applied get near-optimal solution problem. particular, multiple...

We ask what factors cause a blogger to continue participating in the community by contributing content (e.g., posts, comments). crawled sample of profiles (contributed 91% posts) from popular blogging platform "Blogster". Our results show that male and aged (senior) bloggers, who face fewer constraints have more opportunities are retained than others. Other bloggers pay high degree attention these through implicit (reading explicit (writing comments) interactions. also found has higher...

This paper evaluates the benefit of partial availability GPS satellites with L2C signal capability in estimating ionospheric delay using dual-frequency L1/L2 code and phase measurements real data. Compared to strategy one slant (SID) for each satellite, a simplified single differential zenith (ZID) method is proposed account effect limited number measurements. The algorithms models are implemented Kalman filter (KF) based observations processor between receiver difference (SD) observations....