Seasonal influenza (also known as flu) is responsible for considerable morbidity and mortality across the globe. The three recognized pathogens that cause epidemics during winter season are A, B C. virus particularly dangerous due to its mutability. Vaccines an effective tool in preventing seasonal influenza, their formulas updated yearly according WHO recommendations. However, order facilitate...

s: In this paper, we define the portfolio return as fuzzy average yield and risk as hybrid-entropy and variance to deal with the portfolio selection problem with both random uncertainty and fuzzy uncertainty, and propose a mean-variance hybrid-entropy model (MVHEM). A multi-objective genetic algorithm named Non-dominated Sorting Genetic Algorithm II (NSGA-II) is introduced to solve the model. W...

Given the increasing public awareness of environmental impacts, governments have made regulation on pollutants more stringent. Therefore, the Unit Commitment Problem (UCP), which traditionally minimizes the total production costs, needs to consider the pollutants emissions as another objective. This way, the UCP becomes a multiobjective problem with two competing objectives. The approach propos...

Tidal current energy has the advantage of predictability over most other renewable resources. However, due to harsh operating environment and complicated site conditions, developments in this domain have been gradual. Paramount these points is device design optimisation hydrodynamic performance. Recent correction models BEM theory further improved accuracy prediction model. Using an blade eleme...

This paper presents an evolutionary algorithm for solving multi-objective optimization problems-based artificial neural network (ANN). The multi-objective evolutionary algorithm used in this study is genetic algorithm while ANN used is radial basis function network (RBFN). The proposed algorithm named memetic elitist Pareto non-dominated sorting genetic algorithm-based RBFN (MEPGAN). The propos...

This study proposes a bi-objective model for capacitated multi-vehicle allocation of customers to potential distribution centers (DCs).The optimization objectives are to minimize transit time and total cost including opening cost, assumed for opening potential DCs and shipping cost from DCs to the customers where considering heterogeneous vehicles lead to a more realistic model and cause more c...