Search Results - Population intelligence optimization algorithm

Adaptive small-family population-guided swarm intelligence optimization algorithm by Wang, Xintian, Han, Yongming, Chu, Chong, Geng, Zhiqiang

“… To optimize its operation, this paper proposes a novel adaptive small-family population-guided swarm intelligence optimization algorithm (ASPSIOA…”
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Application of population intelligence optimization algorithms to environmental monitoring problems in maize fields by Li, Zuoshan

“…Problems in intelligent farming include soil erosion, pests, diseases, etc. Population intelligence optimization algorithms have a wide range of application prospects in farming environments…”
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Analysis of the influence of population distribution characteristics on swarm intelligence optimization algorithms by Hu, Rongxin, Bao, Liyong, Ding, Hongwei, Zhou, Dongmin, Kong, Yan

“… At the same time, the initialization of the population lays a foundation for the iterative process of the swarm intelligence optimization algorithm…”
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An artificial intelligence technique: experimental analysis of population-based physarum-energy optimization algorithm by Demiral, Mehmet Fatih

“…) which are population-based optimization algorithms were applied to the symmetric traveling salesman problems…”
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Intelligent optimization based density matrix reconstruction method with semi-positive constraint by Meng, Xiaomin, Han, Zhiguang, Cong, Jingyu, Guo, Xiaowan

“…•We propose a method that combines maximum likelihood (ML) estimation with a population intelligence optimization algorithm…”
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Golden jackal optimization algorithm with a population quality improvement framework for real-world engineering optimization problems by Xue, Rui, Deng, Kefeng

“…In this study, a population quality improvement (PQI) framework to enhance the performance of the recently emerged nature-inspired metaheuristic algorithm, named golden jackal optimization (GJO…”
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Human mental search: a new population-based metaheuristic optimization algorithm by Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein

“…Population-based metaheuristic algorithms have become popular in recent years with them getting used in different fields such as business, medicine, and agriculture…”
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Evolutionary optimization algorithms: biologically-inspired and population-based approaches to computer intelligence. by Simon, Dan, Simon, Dan

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Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems by Sowmya, Ravichandran, Premkumar, Manoharan, Jangir, Pradeep

“…The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is suggested and developed in this paper…”
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Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm by Wang, Fang

“…This paper uses an improved multiorganizational particle population optimization algorithm to conduct an in-depth analysis and study of an online English teaching model and uses the altered model…”
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A novel community detection method based on whale optimization algorithm with evolutionary population by Feng, Yunfei, Chen, Hongmei, Li, Tianrui, Luo, Chuan

“… In recent years, swarm intelligence algorithms have been applied to community detection and have achieved remarkable results…”
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A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path problems by Marinakis, Yannis, Migdalas, Athanasios, Sifaleras, Angelo

“… this significant combinatorial optimization problem. Particle Swarm Optimization (PSO) is a population-based swarm intelligence algorithm that simulates…”
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Chaotic coyote algorithm applied to truss optimization problems by Pierezan, Juliano, dos Santos Coelho, Leandro, Cocco Mariani, Viviana, Hochsteiner de Vasconcelos Segundo, Emerson, Prayogo, Doddy

“… The Coyote Optimization Algorithm (COA) is a population-based nature-inspired metaheuristic of the swarm intelligence field for global optimization that considers the social relations of the coyote proposed to single-objective optimization…”
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A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem by Hemici, Meriem, Zouache, Djaafar

“… This paper proposes a new multi-objective evolutionary algorithm based on multi-population, called MP-MOEA, to handle the multi-objective constrained portfolio optimization problem (MOCPOP…”
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A horizontal and vertical crossover cuckoo search: optimizing performance for the engineering problems by Su, Hang, Zhao, Dong, Yu, Fanhua, Heidari, Ali Asghar, Xu, Zhangze, Alotaibi, Fahd S, Mafarja, Majdi, Chen, Huiling

“…) algorithm in the population intelligence algorithm has been widely used in various fields as a classical optimization algorithm…”
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A comprehensive review on Jaya optimization algorithm by da Silva, Luiza Scapinello Aquino, Lúcio, Yan Lieven Souza, Coelho, Leandro dos Santos, Mariani, Viviana Cocco, Rao, Ravipudi Venkata

“…The Jaya Algorithm is a relatively new population-based optimization, which has become a progressively valuable tool in swarm intelligence…”
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Effective PID controller design using a novel hybrid algorithm for high order systems by Izci, Davut, Ekinci, Serdar, Hussien, Abdelazim G.

“… On the other hand, particle swarm optimization is a swarm intelligence algorithm that uses a population of particles to search for the optimal solution through a social learning process…”
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Self-adaptive Multi-population Rao Algorithms for Engineering Design Optimization by Rao, R. V., Pawar, R. B.

“…The performance of various population-based advanced optimization algorithms has been significantly improved by using the multi-population search scheme…”
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Application of Swarm Intelligence Optimization Algorithm in Antenna Design by Zheng, Xiaodong

“… In order to solve such problem, swarm intelligence optimization algorithm is used in the antenna design…”
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A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Yang, Yongkuan, Yan, Bing, Kong, Xiangsong

“…Balancing between the convergence, feasibility, and diversity of the population is the key to solving constrained multi-objective optimization problems (CMOPs…”
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