Search Results - "algorithm"

Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms by Jiang, Min, Huang, Zhongqiang, Qiu, Liming, Huang, Wenzhen, Yen, Gary G.

“…One of the major distinguishing features of the dynamic multiobjective optimization problems (DMOPs) is that optimization objectives will change over time,…”
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A Multi-Facet Survey on Memetic Computation by Chen, Xianshun, Ong, Yew-Soon, Lim, Meng-Hiot, Tan, Kay Chen

“…Memetic computation is a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of…”
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The Arithmetic Optimization Algorithm by Abualigah, Laith, Diabat, Ali, Mirjalili, Seyedali, Abd Elaziz, Mohamed, Gandomi, Amir H.

“…This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes the distribution behavior of the main arithmetic…”
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A Hybrid Optimization Technique Using Exchange Market and Genetic Algorithms by Jafari, Amirreza, Khalili, Tohid, Babaei, Ebrahim, Bidram, Ali

“…This paper proposes a hybrid optimization technique combining genetic and exchange market algorithms. These algorithms are two evolutionary algorithms that…”
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A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives by Seada, Haitham, Deb, Kalyanmoy

“…Traditionally, evolutionary algorithms (EAs) have been systematically developed to solve mono-, multi-, and many-objective optimization problems, in this…”
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Multi-robot path planning based on a deep reinforcement learning DQN algorithm by Yang, Yang, Juntao, Li, Lingling, Peng

“…The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower…”
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A conceptual and practical comparison of PSO-style optimization algorithms by Tharwat, Alaa, Schenck, Wolfram

“…Optimization algorithms are widely employed for finding optimal solutions in many applications. Stochastic optimization algorithms including nature-inspired…”
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Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization by Yi, Xinlei, Zhang, Shengjun, Yang, Tao, Chai, Tianyou, Johansson, Karl H.

“…This article considers the distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using…”
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Temporal Parallelization of Inference in Hidden Markov Models by Hassan, Sakira, Sarkka, Simo, Garcia-Fernandez, Angel

“…This paper presents algorithms for the parallelization of inference in hidden Markov models (HMMs). In particular, we propose a parallel forward-backward type…”
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Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets by Panichella, Annibale, Kifetew, Fitsum Meshesha, Tonella, Paolo

“…The test case generation is intrinsically a multi-objective problem, since the goal is covering multiple test targets (e.g., branches). Existing search-based…”
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A Survey of Sparse Representation: Algorithms and Applications by Zhang, Zheng, Xu, Yong, Yang, Jian, Li, Xuelong, Zhang, David

“…Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision, and pattern recognition…”
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How do users interact with algorithm recommender systems? The interaction of users, algorithms, and performance by Shin, Donghee

“…Although algorithms have been widely used to deliver useful applications and services, it is unclear how users actually experience and interact with…”
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An efficient slime mould algorithm for solving multi-objective optimization problems by Houssein, Essam H., Mahdy, Mohamed A., Shebl, Doaa, Manzoor, Awais, Sarkar, Ram, Mohamed, Waleed M.

“…Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective optimization problems. It is considered as a strong algorithm for its…”
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A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection by Arora, Sankalap, Singh, Harpreet, Sharma, Manik, Sharma, Sanjeev, Anand, Priyanka

“…Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety…”
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Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization by Zamani, Hoda, Nadimi-Shahraki, Mohammad H., Gandomi, Amir H.

“…This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer…”
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Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems by Houssein, Essam H., Mahdy, Mohamed A., Blondin, Maude J., Shebl, Doaa, Mohamed, Waleed M.

“…•SMA-AGDE method is proposed for solving various optimization problems.•The algorithm performance is verified on CEC’17 benchmark.•The method performance is…”
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IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems by Sun, Yanan, Yen, Gary G., Yi, Zhang

“…Inverted generational distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of…”
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Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids

“…The growing propagation of microgrids and their remarkable effects on the operation of the smart grid is leading to the development of a sustained environment…”
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Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs by Wang, Shiqiang, Urgaonkar, Rahul, He, Ting, Chan, Kevin, Zafer, Murtaza, Leung, Kin K.

“…Mobile micro-clouds are promising for enabling performance-critical cloud applications. However, one challenge therein is the dynamics at the network edge. In…”
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Comparative Analysis of Machine Learning and Evolutionary Optimization Algorithms for Precision Micropropagation of Cannabis sativa: Prediction and Validation of in vitro Shoot Growth and Development Based on the Optimization of Light and Carbohydrate Sources by Pepe, Marco, Hesami, Mohsen, Small, Finlay, Jones, Andrew Maxwell Phineas

“…Micropropagation techniques offer opportunity to proliferate, maintain, and study dynamic plant responses in highly controlled environments without confounding…”
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