A Continuous Optimization Model for Partial Digest Problem by H Salehi Fathabadi

Subjects: “…continuous optimization…”
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Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems by Abdülkadir Pektaş, Mehmet Hacıbeyoğlu, Onur İnan

“…The Snake Optimizer (SO), despite its reasonable performance in a variety of continuous optimization problems, struggles by inefficient exploration, stagnation in local optima, and a slow convergence. …”
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A new continuous optimization method of standardized cubic permanent magnets for stellarators by Xiangyu Zhang, Dehong Chen, Guosheng Xu, Zhiyuan Lu, Caoxiang Zhu, Liang Chen, Minyou Ye, Baonian Wan

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The Classical Continuous Optimal Control for Quaternary Nonlinear Parabolic Boundary Value Problems by Jamil A. Ali Al-Hawasy, Wissam A. Abdul-Hussien Al-Anbaki

“… In this paper, our purpose is to study the classical continuous optimal control (CCOC)  for quaternary nonlinear parabolic boundary value problems (QNLPBVPs). …”
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Particle Swarm Optimization Algorithm with Multiple Phases for Solving Continuous Optimization Problems by Jing Li, Yifei Sun, Sicheng Hou

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Wide-angle deep ultraviolet antireflective multilayers via discrete-to-continuous optimization by Kim Jae-Hyun, Kim Dong In, Lee Sun Sook, An Ki-Seok, Yim Soonmin, Lee Eungkyu, Kim Sun-Kyung

“…Then, the figure of merit was refined through continuous optimization (e.g., using an interior-point method) of the ground binary vector. …”
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Mitigating Selection Bias in Local Optima: A Meta-Analysis of Niching Methods in Continuous Optimization by Junchen Wang, Changhe Li, Yiya Diao

“…To obtain an in-depth understanding of the above issue, thus offering actionable insights for optimization tasks challenged by the multimodality, this paper uses continuous optimization as an entry point and focuses on analyzing differential behaviors of EC methods across different basins of attraction. …”
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Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems by Martins Akugbe Arasomwan, Aderemi Oluyinka Adewumi

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A novel metaheuristic for optimization inspired by mother-infant communication in animal colonies by Alireza Ghaffari-Hadigheh

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Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Yongxuan Yao, Mingxin Zhu, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

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Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models by Zhentao Tang, Kaiyu Wang, Lan Zhuang, Mingxin Zhu, Yongxuan Yao, Huiqin Chen, Jing Li, Xiaoxiang Wu, Shangce Gao

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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

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The continuous quadrant penalty formulation of logical constraints by Cafieri, Sonia, Conn, Andrew R., Mongeau, Marcel

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Quantum Snowflake Algorithm (QSA): A Snowflake-Inspired, Quantum-Driven Metaheuristic for Large-Scale Continuous and Discrete Optimization with Application to the Traveling Salesma... by Zeki Oralhan, Burcu Oralhan

Subjects: “…continuous optimization…”
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Solving Weighted Orthogonal Procrustes Problems via a Projected Gradient Method by H. F. Oviedo Leon, S. Guerrero

Subjects: “…Continuous optimization…”
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Colonial bacterial memetic algorithm and its application on a darts playing robot by Szilárd Kovács, Csaba Budai, János Botzheim

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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

“…Meanwhile, the Differential Evolution algorithm (DE), known for its strong global optimization ability and excellent performance in handling complex nonlinear problems, is well recognized in continuous optimization issues. However, since DE was originally designed for continuous optimization scenarios, it shows insufficient adaptability under the discrete nature of WFLOP, limiting its potential advantages. …”
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Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation by Matej Črepinšek, Miha Ravber, Luka Mernik, Marjan Mernik

“…This paper defines blind spots in continuous optimization problems as global optima that are inherently difficult to locate due to deceptive, misleading, or barren regions in the fitness landscape. …”
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Assembly Sequence Optimization based on Improved Genetic Algorithm by Yang Wei, Meng Guanjun, Cao Wengang, Xie Kunfeng, Yu Pengfei

“…According to the assembly sequence optimization problem of mechanical products,the assembly sequence is used as initial population,and the reference set is added to the genetic algorithm,and the intelligent iterative mechanism of the decentralized search algorithm is used to avoid the random nature of the search.The continuous optimization of the assembly,the optimal solution is obtained. …”
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Putting Continuous Metaheuristics to Work in Binary Search Spaces by Broderick Crawford, Ricardo Soto, Gino Astorga, José García, Carlos Castro, Fernando Paredes

“…This paper surveys articles focused on the binarization of metaheuristics designed for continuous optimization.…”
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