Search Results - constrained multi-objective optimisation ((problem* OR problemy*) OR problems*)

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results by Kumar, Abhishek, Wu, Guohua, Ali, Mostafa Z., Luo, Qizhang, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam, Das, Swagatam

“…). To fill this gap, we develop a benchmark suite of Real-world Constrained Multi-objective Optimization Problems (RWCMOPs…”
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A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems by Gu, Qinghua, Wang, Qian, Li, Xuexian, Li, Xinhong

“… optimization problems. Therefore, a random forest assisted adaptive multi-objective particle swarm optimization (RFMOPSO…”
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Push and pull search for solving constrained multi-objective optimization problems by Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“…This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs…”
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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

“…, but they encounter difficulties in their ability for constrained multi-objective optimization problems (CMOPs…”
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MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems by Fan, Zhun, Fang, Yi, Li, Wenji, Cai, Xinye, Wei, Caimin, Goodman, Erik

“…), to solve constrained multi-objective optimization problems (CMOPs). In this work, the mechanism of ACDP is embedded in a decomposition-based multi-objective evolutionary algorithm (MOEA/D…”
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Multi-objective spotted hyena optimizer: A Multi-objective optimization algorithm for engineering problems by Dhiman, Gaurav, Kumar, Vijay

“…•The results reveal the superior convergence behaviour and coverage of proposed MOSHO.•The results on constrained multi-objective engineering problems prove the applicability of MOSHO in real-life applications…”
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A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems by Panagant, Natee, Pholdee, Nantiwat, Bureerat, Sujin, Yildiz, Ali Riza, Mirjalili, Seyedali

“… compared to the single-objective cases. This paper investigates the comparative performance of fourteen new and established multi-objective metaheuristics when solving truss optimisation problems…”
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Water cycle algorithm for solving constrained multi-objective optimization problems by Sadollah, Ali, Eskandar, Hadi, Kim, Joong Hoon

“…•Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems…”
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A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems by Zou, Juan, Sun, Ruiqing, Yang, Shengxiang, Zheng, Jinhua

“…•The proposed algorithm is competitive when compared to the Dual-popualtion CMOEAs. It is challenging to solve constrained multi-objective optimization problems (CMOPs…”
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Efficient implicit constraint handling approaches for constrained optimization problems by Rahimi, Iman, Gandomi, Amir H., Nikoo, Mohammad Reza, Mousavi, Mohsen, Chen, Fang

“… Numerous researchers have investigated this challenge for constrained single- and multi-objective optimization problems…”
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A symbiotic organisms search algorithm-based design optimization of constrained multi-objective engineering design problems by Ustun, Deniz, Carbas, Serdar, Toktas, Abdurrahim

“… to live on and breed within the ecosystem, for constrained multi-objective engineering design problems…”
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A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“…Many multi-objective evolutionary algorithms are proposed to handle constrained multi-objective optimization problems…”
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Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem by Zhao, Hong, Chen, Zong-Gan, Zhan, Zhi-Hui, Kwong, Sam, Zhang, Jun

“… This is usually called the portfolio optimization problem (POP). When the cardinality constrained (CC…”
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Constrained multi-objective optimization problems: Methodologies, algorithms and applications by Hao, Yuanyuan, Zhao, Chunliang, Zhang, Yiqin, Cao, Yuanze, Li, Zhong

“…Constrained multi-objective optimization problems (CMOPs) are widespread in practical applications such as engineering design, resource allocation, and scheduling optimization…”
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New Newton Group Iterative Methods for Solving Large-Scale Multi-Objective Constrained Optimization Problems by Cheng, Peng, Sulaiman, Jumat, Ghazali, Khadizah, Ali, Majid Khan Majahar, Xu, Ming Ming

“… Solving large-scale multi-objective constrained optimization problems can help to solve many practical engineering and scientific problems…”
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A tri-population based co-evolutionary framework for constrained multi-objective optimization problems by Ming, Fei, Gong, Wenyin, Wang, Ling, Lu, Chao

“…•Experiments verified the superiority and the versatility of the framework. Balancing between the optimization of objective functions and constraint satisfaction is essential to handle constrained multi-objective optimization problems (CMOPs…”
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Improved selection in evolutionary multi–objective optimization of multi–skill resource–constrained project scheduling problem by Laszczyk, Maciej, Myszkowski, Paweł B.

“…•Several selection NSGA-II modifications: population management, tournament selection, crowding distance and rank operators.•Clone prevention mechanism usage…”
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Solving a multi-objective chance constrained hierarchical optimization problem under intuitionistic fuzzy environment with its application by Sharma, Kirti, Singh, Vishnu Pratap, Ebrahimnejad, Ali, Chakraborty, Debjani

“…Various optimization approaches have been developed and used for generating optimal solutions for different industry related optimization problems…”
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An efficient multi-objective parrot optimizer for global and engineering optimization problems by Saad, Mohammed R., Emam, Marwa M., Houssein, Essam H.

“… This study extends PO into the Multi-Objective Parrot Optimizer (MOPO), tailored for multi-objective optimization (MOO) problems…”
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A new boredom-aware dual-resource constrained flexible job shop scheduling problem using a two-stage multi-objective particle swarm optimization algorithm by Shi, Jiaxuan, Chen, Mingzhou, Ma, Yumin, Qiao, Fei

“…Dual-resource constrained flexible job shop scheduling problem has become a hot research field in recent years…”
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