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Junzi Sun
Trajectory optimization has been an active area of research for air transport studies for several decades. But almost all flight optimizers proposed in the literature remain close-sourced, which presents a major disadvantage for the advancement of scient...
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Jungwook Kim, Deokhwan Kim, Hongjun Joo, Huiseong Noh, Jongso Lee and Hung Soo Kim
The objective function is usually used for verification of the optimization process between observed and simulated flows for the parameter estimation of rainfall?runoff model. However, it does not focus on peak flow and on representative parameter for va...
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Silvio Rodrigues, Carlos Restrepo, George Katsouris, Rodrigo Teixeira Pinto, Maryam Soleimanzadeh, Peter Bosman and Pavol Bauer
Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article present...
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Hui Wan, Jun Xia, Liping Zhang, Dunxian She, Yang Xiao and Lei Zou
Sensitivity analysis is a fundamental approach to identify the most significant and sensitive parameters, helping us to understand complex hydrological models, particularly for time-consuming distributed flood forecasting models based on complicated theo...
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Marc Vis, Rodney Knight, Sandra Pool, William Wolfe and Jan Seibert
Quantification of streamflow characteristics in ungauged catchments remains a challenge. Hydrological modeling is often used to derive flow time series and to calculate streamflow characteristics for subsequent applications that may differ from those env...
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Yongen Lin, Dagang Wang, Tao Jiang and Aiqing Kang
Reliable streamflow forecasting is a determining factor for water resource planning and flood control. To better understand the strengths and weaknesses of newly proposed methods in streamflow forecasting and facilitate comparisons of different research ...
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Delaram Houshmand Kouchi, Kazem Esmaili, Alireza Faridhosseini, Seyed Hossein Sanaeinejad, Davar Khalili, Karim C. Abbaspour
Pág. 1 - 16
The successful application of hydrological models relies on careful calibration and uncertainty analysis. However, there are many different calibration/uncertainty analysis algorithms, and each could be run with different objective functions. In this pap...
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Johan T. Ferreira, Andri?tte Bekker
Pág. 2 bladsye
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Warren Hare and Gabriel Jarry-Bolduc
This paper examines a calculus-based approach to building model functions in a derivative-free algorithm. This calculus-based approach can be used when the objective function considered is defined via more than one blackbox. Two versions of a derivative-...
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Ryan Dieter Lang and Andries Petrus Engelbrecht
The choice of which objective functions, or benchmark problems, should be used to test an optimization algorithm is a crucial part of the algorithm selection framework. Benchmark suites that are often used in the literature have been shown to exhibit poo...
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Weixiu Shi, Yin Sun, Lisheng Pan, Linjian Song and Xiaolin Wei
Ocean thermal energy is a huge renewable and clean energy. For different applications of the Ocean Thermal Energy Conversion (OTEC) system, new objective functions are proposed and optimal CO2-based binary zeotropic mixtures for each objective function a...
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Jong Seok Lee and Hyun Il Choi
Long-term streamflow simulations of the Land Surface Models (LSMs) are necessary for the comprehensive evaluation of hydrological responses to climate change. The high complexity and uncertainty in the LSM modelling require the model calibration to impro...
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Andrzej Montwill
Pág. 366 - 377
The article presents the issues concerning the impact of a seaport on the port conurbation transport system. A seaport activity is related to the movement of goods, which undoubtedly increases cargo streams in the conurbation transport system. Thus, it c...
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Adekunle Rotimi Adekoya and Mardé Helbig
Dynamic multi-objective optimization problems (DMOPs) are optimization problems where elements of the problems, such as the objective functions and/or constraints, change with time. These problems are characterized by two or more objective functions, whe...
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Anatolii Bielikov,Oleksandr Mamontov,Ruslan Papirnyk,Tetiana Stytsenko,Kostiantyn Ostapov,Volodymyr Shalomov,Sergey Ragimov,Andrii Melnichenko
Pág. 55 - 60
Original single-layer and multilayer structures of sound-insulating panels are considered, as well as their advantages compared to traditional analogs.The shortcomings of the method of optimization calculation of a group of sound-insulating panels design...
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Atthaphon Ariyarit and Masahiro Kanazaki
In this study, efficient global optimization (EGO) with a multi-fidelity hybrid surrogate model for multi-objective optimization is proposed to solve multi-objective real-world design problems. In the proposed approach, a design exploration is carried ou...
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Yu Han, Xiaolei Ma, Bo Wang, Hongwang Zhang, Qiuxia Zhang and Gang Chen
Nonlinear Model Predictive Control (NMPC) is an effective approach for motion planning in autonomous vehicles that need to satisfy multiple driving demands. Within the realm of planner design, current strategies inadequately address the issues related to...
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Manlio Gaudioso, Sona Taheri, Adil M. Bagirov and Napsu Karmitsa
The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of t...
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Daniele Peri
In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary I...
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Dorin Moldovan
This article introduces a novel nature-inspired algorithm called the Plum Tree Algorithm (PTA), which has the biology of the plum trees as its main source of inspiration. The PTA was tested and validated using 24 benchmark objective functions, and it was...
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