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Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu...
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Yuji Takubo and Masahiro Kanazaki
Landing of supersonic transport (SST) suffers from a large uncertainty due to its highly sensitive aerodynamic properties in the subsonic domain, as well as the wind gusts around runways. At the vehicle design stage, a landing trajectory optimization und...
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Lingchong Zhong, Lijun He, Yongcui Li, Yu Zhang, Yong Zhou and Wenfeng Li
Heterogeneous quay cranes (HQCs) are the main energy-consuming equipment of automated container terminals, and they need to move from one bay to another along the rail and maintain a safe distance from one another. Improving the operational efficiency of...
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Jiajia Fan, Wentao Huang, Qingchao Jiang and Qinqin Fan
For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective optimiz...
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Manuel Domínguez-Dorado, David Cortés-Polo, Javier Carmona-Murillo, Francisco J. Rodríguez-Pérez and Jesús Galeano-Brajones
This study holds direct applicability for organizations seeking to establish comprehensive, tactical, and operational cybersecurity management, especially within the CyberTOMP framework. In order to achieve this objective, the concerned organization will...
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy and Pascal Bouvry
In this article, we propose SuSy-EnGaD, a surveillance system enhanced by games of drones. We propose three different approaches to optimise a swarm of UAVs for improving intruder detection, two of them featuring a multi-objective optimisation approach, ...
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Zeng Wang, Weidong Liu, Minglang Yang and Dongji Han
As a Kansei engineering design expert system, the product form design multi-objective evolutionary algorithm model (PFDMOEAM) contains various methods. Among them, the multi-objective evolutionary algorithm (MOEA) is the key to determine the performance ...
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Florian Vesting, Rickard E. Bensow, Rikard Johansson, Robert Gustafsson and Nicole Costa
The use of automated optimisation in engineering applications is emerging. In particular, nature inspired algorithms are frequently used because of their variability and robust application in constraints and multi-objective optimisation problems. The pur...
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Fei He, Kang Shen, Li Guan and Mingming Jiang
In order to help the forging enterprise realize energy conservation and emission reduction, the scheduling problem of furnace heating was improved in this paper. Aiming at the charging problem of continuous heating furnace, a multi-objective furnace char...
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Muhammad Abid Jamil, Mohamed K. Nour, Saud S. Alotaibi, Mohammad Jabed Hussain, Syed Mutiullah Hussaini and Atif Naseer
Currently, software development is more associated with families of configurable software than the single implementation of a product. Due to the numerous possible combinations in a software product line, testing these families of software product lines ...
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Yuchuang Wang, Guoyou Shi and Katsutoshi Hirayama
The container ship stowage planning problem (CSPP) is a very complex and challenging issue concerning the interests of shipping companies and ports. This article has developed a many-objective CSPP solution that optimizes ship stability and reduces the n...
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Jafar Yazdi, Young Hwan Choi and Joong Hoon Kim
We developed a hybrid algorithm for multi-objective design of water distribution networks (WDNs) in the present study. The proposed algorithm combines the global search schemes of differential evolution (DE) with the local search capabilities of harmony ...
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Jafar Yazdi, Young Hwan Choi, Joong Hoon Kim
Pág. 1 - 20
We developed a hybrid algorithm for multi-objective design of water distribution networks (WDNs) in the present study. The proposed algorithm combines the global search schemes of differential evolution (DE) with the local search capabilities of harmony ...
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Praveen Kumar Shukla and Surya Prakash Tripathi
Interpretability and accuracy are two important features of fuzzy systems which are conflicting in their nature. One can be improved at the cost of the other and this situation is identified as ?Interpretability-Accuracy Trade-Off?. To deal with this tra...
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Chunling Ye, Zhengyan Mao and Mandan Liu
Inspired by the mechanism of generation and restriction among five elements in Chinese traditional culture, we present a novel Multi-Objective Five-Elements Cycle Optimization algorithm (MOFECO). During the optimization process of MOFECO, we use individu...
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Tianlong Li, Tao Zhang and Wenhua Li
This paper presents a two-step approach for optimizing the configuration of a mobile photovoltaic-diesel-storage microgrid system. Initially, we developed a planning configuration model to ensure a balance between the mobility of components and a sustain...
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Pawel L. Manikowski, David J. Walker and Matthew J. Craven
Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve the maximum power output and minimum wind farm cost. This may be accomplished by applying single or mult...
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Siling Feng, Ziqiang Yang and Mengxing Huang
In order to improve the performance of optimization, we apply a hybridization of adaptive biogeography-based optimization (BBO) algorithm and differential evolution (DE) to multi-objective optimization problems (MOPs). A model of multi-objective evolutio...
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Zitong Wang, Yan Pei and Jianqiang Li
The multi-objective optimization problem is difficult to solve with conventional optimization methods and algorithms because there are conflicts among several optimization objectives and functions. Through the efforts of researchers and experts from diff...
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