Coastal areas are particularly vulnerable to flooding from heavy rainfall, sea storm surge, or a combination of the two. Recent studies project higher intensity and frequency rains, progressive level rise continuing over next decades. Pre-emptive optimal flood defense policies that adaptively address climate change needed. However, future projections have significant uncertainty due multiple fa...

Generally, the main focus of grid-linked photovoltaic systems is to scale up penetration level ensure full electricity consumption coverage. However, due stochasticity and nondispatchable nature its generation, significant adverse impacts such as power overloading, voltage, harmonics, current, frequency instabilities on utility grid arise. These vary in severity a function degree system. Thus, ...

We consider the problem of selecting investment components according to two partially opposed measures: the portfolio performance and its risk. We approach this within Markowitz’s model, considering the case of mutual funds market in Europe until July 2010. Comparisons were made on three multi-objective evolutionary algorithms, namely NSGAII, SPEA2 and IBEA. Two well-known performance measures ...

This study aims to find the optimized parameters for surveying milling process of S50C steel in a minimum quantity lubrication (MQL) environment using support vector machine-genetic algorithm (SVM-GA). Based on experimental matrix designed by Taguchi method, surface roughness and cutting force data were collected corresponding each experiment with changes input such as speed, tooth feed rate, a...

The dense population and the large amount of domestic waste generated make it difficult to determine best route departure time for removal trucks in a city. Aiming at problems municipal solid (MSW) transportation not time, high collection costs carbon emissions, this paper studies vehicle routing problem under influence time-dependent travel traffic congestion emissions. In paper, dual objectiv...

Power system restructuring has changed transmission expansion planning (TEP) and caused many complications due to conflicting contradictory objectives. The capacity would significantly affect the revenue of investor-owned renewable energy sources (RESs). Thus, investment decisions on merchant RESs must be considered in TEP studies conducted by operator (TSO). In this regard, paper aims propose ...

In recent years, renewable energy sources such as wind energy have been used as one of the most effective ways to reduce pollution emissions. In this paper, a summation based multi-objective differential evolution (SMODE) algorithm is used to optimize the economic emission dispatch problem with stochastic wind power. The Weibull probability distribution function is used to model the stochastic ...

Received Jan 24, 2017 Revised May 4, 2017 Accepted Jun 10, 2017 In recent decades, one of the main management’s concerns of professional engineers is the optimal integration of various types of renewable energy to the grid. This paper discusses the optimal allocation of one type of renewable energy i.e. wind turbine to the grid for enhancing network’s performance. A multi-objective function is ...

Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics to solve difficult computational optimization problems. There are two main types of hyper-heuristics: selective and generative hyper-heuristics. An online selective hyper-heuristic framework manages a set of low level heuristics and aims to choose the best one at any given time using a performance mea...

With the rapid growth of electric vehicle (EV) ownership, problem increased peak loads on distribution networks due to large-scale EV integration needs be addressed. This study proposes an active network multi-objective optimization scheduling method. It takes into account charging demands EVs and aims minimize operating costs, reduce net load variance, maximize photovoltaic (PV) consumption ra...