... that can improve the quality of human life. Nowadays, we can make our factories smarter using new concepts and tools like real-time self-optimization. This study aims to take a step towards implementing key features of smart manufacturing including preventive self-maintenance, self-scheduling and real-time...

... technologies today. This paper designed a virtual closed-loop supply chain (VCLSC) network based on multiperiod, multiproduct and by using the Internet of Things (IoT). The purpose of the paper is the optimization of the VCLSC network. Design/methodology/approach The proposed model considers...

...-improved whale optimization algorithm (SIWOA). Finally, optimized deep belief network (DBN) is used to predict the stock that considers the features of stock data and sentiment results from news data. Here, the weights of DBN are tuned by the new SIWOA. Findings The performance of the adopted scheme...

...Weihua Xu; Shujun Zhou; Ketong Zhao; Yixuan Shi; Sun Bingzhen Purpose The purpose of this paper is to focus on determining the optimal sales price for non-instantaneous deterioration items according to consideration of freshness and demand. Design/methodology/approach In this model...

... is to present a metamodel-based simulation optimization in an emergency department (ED) to allocate human resources in the best way to minimize door to doctor time subject to the problem constraints which are capacity and budget. Design/methodology/approach To obtain the objective of this research, first...

.../methodology/approach The authors use the dynamic game theory, optimization, sensitive analysis and numerical study in this research. The authors model their research question from the perspective of the dynamic game theory, and through optimizing the platform’s profit function, the equilibrium results...

...: An optimization model was put forward by Ben-David and Raz (2001) in order to minimize the sum of expected risk loss and risk response cost to obtain the optimal RRAs. The study primarily contributes to revealing that mathematical models can help to solve a practical and common problem. This model was further...

... the parameter uncertainty which concerns users’ demands for services in computer networks as well as network links’ capacities. Corresponding optimization tasks are presented. Numerical experiments concerning a part of the computer network Pionier working in Poland confirmed the usefulness of the solution...

... FA, randomly generated solutions will be considered as fireflies, and brightness is associated with the objective function to be optimized. However, during the optimization process, the fireflies become more and more similar and gather into the neighborhood of the best firefly in the population...

..., and operating profit and cost of the online store under the supply policy that prevent stockouts are analyzed to develop an optimal model for inventory control and product image allocation. The paper aims to discuss these issues. Design/methodology/approach – The developed model takes both order cost...

... and simulation. Design/methodology/approach The paper considers the problem of developing effective methods and algorithms for optimization of fuzzy rules bases of Sugeno‐type fuzzy controllers that can be applied to control of dynamic objects, including objects with non‐stationary parameters. The proposed...

...Yanfeng Xing Purpose The key control characteristics (KCCs) are very important to control dimensional quality of the final product. The purpose of this paper is to propose optimization algorithm and rules of design KCCs by optimizing KCCs of 2D and 3D workpieces based on equations and candidate...

... trajectories are generated by applying genetic algorithms (GAs) search and optimisation methods for alternative policy scenarios of input variables. An application is shown in the context of the city of Jaipur. © MCB UP Limited 2003 Cybernetics Modelling Simulation Optimization Project...

...Yves Cherruault α‐dense curves allow to “densify” the space Rⁿ with a precision α. These curves can be expressed by means of a single variable. When applied to an optimization problem depending on n variables they lead to a new optimization problem according to a single...

...A. Benabidallah; Y. Cherruault; Y. Tourbier Decomposition of several variables functions by means of functions of one variable was a fundamental problem, studied by mathematicians, and the specially by KOLMOGOROV school. This question is closely connected with optimization and optimal control...

... with dynamically changing topology and variable traffic patterns. The routing tables controlling packet switching are updated by mobile agents without any central control and with no a priori knowledge of the topology of the network. © MCB UP Limited 2002 Intelligence Optimization...

... of systemic unity and interactions. We will examine these questions in this paper with respect to the optimal control problem of the calculus of variations, and for multi‐objective decision problems. Pervasive complementarity means extensively relational linkages and coordination among agents and entities...

... of uncertainties: random noise and structural uncertainties. The latter is caused by the fact that observations may not be made on the recent estimate, may not even be carried out on f(⋅) but on some other function. The optimization algorithm and conditions guaranteeing its convergence are given. A2...

...Yves Cherruault New methods for optimization and for solving nonlinear functional equations are given and are applied to the identification and optimal control of models coming from life sciences. Cybernetics Modelling Optimization The Alienor method consists of defining reducing...

... they are applied. The approaches include fuzzy logic decision making for optimal start‐up of combined cycle power plant, control and modelling within an automotive air fuel ratio application and optimisation of intensity modulated radiation therapy treatment. These diverse application areas have much in common...