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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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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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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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George Tsakalidis, Kostas Georgoulakos, Dimitris Paganias and Kostas Vergidis
Business process optimization (BPO) has become an increasingly attractive subject in the wider area of business process intelligence and is considered as the problem of composing feasible business process designs with optimal attribute values, such as ex...
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Ignacio Rodríguez-Rodríguez, José-Víctor Rodríguez, Domingo-Javier Pardo-Quiles, Purificación Heras-González and Ioannis Chatzigiannakis
Gender-Based Violence (GBV) is a serious problem that societies and governments must address using all applicable resources. This requires adequate planning in order to optimize both resources and budget, which demands a thorough understanding of the mag...
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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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Jafar Yazdi, Young Hwan Choi, Joong Hoon Kim
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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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