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...

This work presents three multi-objective heuristic algorithms based on Two-phase Pareto Local Search with VNS (2PPLS-VNS), Multi-objective Variable Neighborhood Search (MOVNS) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The algorithms were applied to the open-pit-mining operational planning problem with dynamic truck allocation (OPMOP). Approximations to Pareto sets generated by t...

Multi-objective problems with parameter interactions can present difficulties to many optimization algorithms. We have investigated the behaviour of Simplex Crossover (SPX), Unimodal Normally Distributed Crossover (UNDX), Parent-centric Crossover (PCX), and Differential Evolution (DE), as possible alternatives to the Simulated Binary Crossover (SBX) operator within the NSGA-II (Non-dominated So...

In the facility location problem usually reducing total transferring cost and time are common objectives. Designing of a network with hub facilities can improve network efficiency. In this study a new model is presented for P-hub covering location problem. In the p-hub covering problem it is attempted to locate hubs and allocate customers to established hubs while allocated nodes to hubs are in...

The airfoil is the prime component of flying vehicles. For low-speed flights, low Reynolds number airfoils are used. characteristic a laminar separation bubble and an associated drag rise. This paper presents framework for design airfoil. contributions proposed research twofold. First, convolutional neural network (CNN) designed aerodynamic coefficient prediction airfoils. Data generation discu...

Introduction: In the wave of urbanization, increase public lighting equipment in buildings has brought about more prominent problems energy saving and consumption reduction. Methods: order to solve above problems, this paper designs a set intelligent solutions for digital by combining smart grid non-dominant sorting genetic algorithms. Firstly, an monitoring solution is constructed through ZigB...

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...