http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Sadollah, Ali,Sayyaadi, Hassan,Yoo, Do Guen,Lee, Ho Min,Kim, Joong Hoon Elsevier 2018 Applied soft computing Vol.68 No.-
<P><B>Abstract</B></P> <P>This paper proposes a hybrid optimization method that combines the power of the harmony search (HS) with the mine blast algorithm (MBA). The resulting mine blast harmony search (MBHS) uses MBA for exploration and HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the hybrid algorithm is an improved version, introducing a new concept for the harmony memory size, while the MBA is modified in terms of its mathematical formulation. Several numerical problems and benchmarks with many design variables and constraints are used to validate MBHS, and the optimization results are compared with those from various algorithms in the literature. The numerical results show that the proposed hybrid method provides better exploitation ability (especially in the final iterations) and enjoys mature convergence to the optimum solution.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Improving exploration and exploitation capabilities of the HS and MBA. </LI> <LI> Mine Blast Harmony Search (MBHS) enjoys performances of the MBA and HS. </LI> <LI> MBHS is applied for solving several benchmarks and engineering problems. </LI> <LI> MBHS offers cheaper design cost and the minimum weights for reported problems. </LI> <LI> MBHS utilizes fast convergence and better exploitation ability of the MBA and HS. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Water cycle algorithm for solving constrained multi-objective optimization problems
Sadollah, Ali,Eskandar, Hadi,Kim, Joong Hoon Elsevier 2015 Applied soft computing Vol.27 No.-
<P><B>Abstract</B></P> <P>In this paper, a metaheuristic optimizer, the multi-objective water cycle algorithm (MOWCA), is presented for solving constrained multi-objective problems. The MOWCA is based on emulation of the water cycle process in nature. In this study, a set of non-dominated solutions obtained by the proposed algorithm is kept in an archive to be used to display the exploratory capability of the MOWCA as compared to other efficient methods in the literature. Moreover, to make a comprehensive assessment about the robustness and efficiency of the proposed algorithm, the obtained optimization results are also compared with other widely used optimizers for constrained and engineering design problems. The comparisons are carried out using tabular, descriptive, and graphical presentations.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems. </LI> <LI> Generational distance, metric of spread, and <I>Δ</I> metric are used as performance criteria. </LI> <LI> Optimal Pareto fronts are finely covered by the MOWCA with a good distribution of the non-dominated solutions. </LI> <LI> MOWCA is able to approach a full optimal Pareto front and provide a superior quality of solutions. </LI> <LI> MOWCA is better able to find a wider range of solutions compared with the other optimizers in this paper. </LI> </UL> </P>
유도근,정건희,Ali Sadollah,김중훈 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.7
In this study, optimal water quality sensor placement is performed based on the sensitivity of flow direction under different water demands for detecting accidental water quality contamination. First, Betweenness Centrality (BC), a network analysis method, is used for determining optimal locations considering a network’s connectivity. Second, sensor locations are optimized for minimizing the contaminant intrusion detection time using the travel time matrix and the Multi-Objective Genetic Algorithm (MOGA). These methods were applied to two water distribution networks. It was found that the BC method generates optimal locations close to the water sources and the water main, whereas the MOGA-based method generates optimal sensor locations far away from the sources. These results support the following conclusions. First, the installation priority of gauges can be determined with a more objective standard using the aforementioned two methods. Second, given specific objectives, the two models can be used as alternative decision-making tools for sensor installation.
Optimal cost design of water distribution networks using a decomposition approach
Lee, Ho Min,Yoo, Do Guen,Sadollah, Ali,Kim, Joong Hoon Taylor Francis 2016 Engineering optimization Vol.48 No.12
<P>Water distribution network decomposition, which is an engineering approach, is adopted to increase the efficiency of obtaining the optimal cost design of a water distribution network using an optimization algorithm. This study applied the source tracing tool in EPANET, which is a hydraulic and water quality analysis model, to the decomposition of a network to improve the efficiency of the optimal design process. The proposed approach was tested by carrying out the optimal cost design of two water distribution networks, and the results were compared with other optimal cost designs derived from previously proposed optimization algorithms. The proposed decomposition approach using the source tracing technique enables the efficient decomposition of an actual large-scale network, and the results can be combined with the optimal cost design process using an optimization algorithm. This proves that the final design in this study is better than those obtained with other previously proposed optimization algorithms.</P>
Razi Sheikholeslami,Behnam Gholipour Khalili,Ali Sadollah,김중훈 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.6
This paper represents a novel hybrid optimization method that uses an improved firefly algorithm with a harmony search algorithm (IFA-HS), for optimizing the cost of reinforced concrete retaining walls. The IFA-HS is utilized to find an economical design adhering to ACI 318-05 provisions. Two design examples regarding retaining walls are optimized using the proposed hybrid method, and the optimization results confirm the validity and efficiency of the developed algorithm. The IFA-HS method offers improvements on the recently developed firefly algorithm. These improvements include utilizing the memory that contains information extracted online during a search, employing pitch adjusting operation of HS during firefly updates, and modifying the movement phase of the FA. Moreover, to decrease the computational effort of the IFA-HS, the upper bound strategy, which is a recently developed strategy for reducing the total number of structural analyses, is incorporated during the optimization process.
Yoo, Do Guen,Lee, Ho Min,Sadollah, Ali,Kim, Joong Hoon Hindawi Publishing Corporation 2015 The Scientific World Journal Vol.2015 No.-
<P>Water supply systems are mainly classified into branched and looped network systems. The main difference between these two systems is that, in a branched network system, the flow within each pipe is a known value, whereas in a looped network system, the flow in each pipe is considered an unknown value. Therefore, an analysis of a looped network system is a more complex task. This study aims to develop a technique for estimating the optimal pipe diameter for a looped agricultural irrigation water supply system using a harmony search algorithm, which is an optimization technique. This study mainly serves two purposes. The first is to develop an algorithm and a program for estimating a cost-effective pipe diameter for agricultural irrigation water supply systems using optimization techniques. The second is to validate the developed program by applying the proposed optimized cost-effective pipe diameter to an actual study region (Saemangeum project area, zone 6). The results suggest that the optimal design program, which applies an optimization theory and enhances user convenience, can be effectively applied for the real systems of a looped agricultural irrigation water supply.</P>