In cognitive radio network model consisting of secondary users and primary users, in order to solve the difficult multi-objective spectrum allocation issue about maximizing network efficiency and users’ fairness to access network, this paper proposes a new discrete multi-objective combinatorial optimization mechanism— HJ-DQPSO based on Hooke Jeeves (HJ) and Quantum Particle Swarm Optimization (...

Human resource is a key factor for IT new product development. Considering multi-skilled employees in IT Project Portfolio Scheduling, a mixed integer nonlinear programming model with three optimization objectives is proposed from the view of project or product managers. The three objectives are to maximize the increments of skill efficiency values for all multi-skilled employees, to minimize R...

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of nonlinear system identification, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, securing low-level and high-level int...

One of the most important points in a supply chain is customer-driven modeling, which reduces the bullwhip effect in the supply chain, as well as the costs of investment on the inventory and efficient transshipment of the products. Their homogeneity is reflected in the inventory-routing problem, which is a combination of distribution and inventory management. This paper considers a multi object...

Multi-criteria decision analysis (MCDA) is well suited to address complex public policy problems but could benefit from new tools involve many laypeople. Online information on specialized topics be more engaging by including game elements. This paper reports an experiment that assessed a gamified interface (1) inform laypeople about the objectives consider in wastewater management decisions, (2...

The optimal control models proposed in the literature to a population of diabetics are all single-objective which limits identification alternatives and potential opportunities for different reasons: minimization total does not necessarily imply terms two patients from compartments may support same intensity exercise or severity regime. In this work, we propose multi-objectives model taking int...

Identi cation of model parameters can be viewed as a problem with multiple objectives and constraints derived from empirical data (dynamic and steadystate), physical models and belief, empirical and qualitative belief, desired model properties etc. A fairly general approach to multi-objective system identi cation based on constrained optimization is suggested, and here we formalize the method f...

Currently, due to increased competition in the services and manufacturing, many companies are trying to lower price and good quality products offer to the market. In this paper, the multi-criteria decision-making techniques to evaluate and select the best supplier from among the existing suppliers. The first, hierarchical structure for selecting suppliers of raw materials used and the analytic ...