RBF-Learning-Based Many-Objective Metaheuristic for Robust and Optimal Controller Design in Fixed-Structure Heading Autopilot by Nattapong Ruenruedeepan, Sujin Bureerat, Natee Panagant, Nantiwat Pholdee

“…This paper presents an innovative many-objective metaheuristic (MnMH) algorithm designed to tackle the challenges of robust and optimal controller design for fixed-structure heading autopilots. …”
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A local search with chain search path strategy for real-world many-objective vehicle routing problem by Ying Zhou, Lingjing Kong, Hui Wang, Yiqiao Cai, Shaopeng Liu

“…This strategy can help the algorithm find a high-quality solution set quickly. …”
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A RARE CASE OF DEATH IN FORENSIC EXPERT PRACTICE AFTER INGESTION OF MANY FOREIGN BODIES INSIDE STOMACH by Kristina Hadzhieva, Plamena Dineva, Pavel Timonov, Ivan Tsranchev, Antoaneta Fasova, Todor Dobrev

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Generating approximate ground states of strongly correlated quantum many-body systems through quantum imaginary time evolution by Michael Kaicher, Florian Dommert, Christopher Wever, Maximilian Amsler, Michael Kühn, QUTAC Material Science Working Group

“…Most quantum algorithms designed to generate or probe properties of the ground state of a quantum many-body system require as input an initial state with a large overlap with the desired ground state. …”
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Mann-Type Viscosity Approximation Methods for Multivalued Variational Inclusions with Finitely Many Variational Inequality Constraints in Banach Spaces by Lu-Chuan Ceng, Abdul Latif, Abdullah E. Al-Mazrooei

“…We consider and analyze Mann-type viscosity iterative algorithms not only in the setting of uniformly convex and 2-uniformly smooth Banach space but also in a uniformly convex Banach space having a uniformly Gáteaux differentiable norm. …”
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IMPROVEMENTS TO THE BACKPROPAGATION ALGORITHM by MIRCEA PETRINI

“…This paper presents some simple techniques to improve the backpropagation algorithm. Since learning in neural networks is an NP-complete problem and since traditional gradient descent methods are rather slow, many alternatives have been tried in order to accelerate convergence. …”
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Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces by Chih-Sheng Chuang

“…The inverse mixed variational inequality problem comes from classical variational inequality, and it has many applications. In this paper, we propose new algorithms to study the inverse mixed variational inequality problems in Hilbert spaces, and these algorithms are based on the generalized projection operator. …”
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Branch and Bound Algorithm for the Traveling Salesman Problem is not a Direct Type Algorithm by Aleksandr N. Maksimenko

“…In 2015-2018, there were five papers published, the main results of which are estimates of the clique numbers of polyhedron graphs associated with various combinatorial optimization problems. the main motivation in these works is the thesis that the class of direct type algorithms is wide and includes many classical combinatorial algorithms, including the branch and bound algorithm for the traveling salesman problem, proposed by J. …”
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MC64-ClustalWP2: a highly-parallel hybrid strategy to align multiple sequences in many-core architectures. by David Díaz, Francisco J Esteban, Pilar Hernández, Juan Antonio Caballero, Antonio Guevara, Gabriel Dorado, Sergio Gálvez

“…We have developed the MC64-ClustalWP2 as a new implementation of the Clustal W algorithm, integrating a novel parallelization strategy and significantly increasing the performance when aligning long sequences in architectures with many cores. …”
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Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features by Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal

“…However, more research is needed to quantify the contribution of features in the GPHH to many-objective JSS. The proposed algorithm introduces an adaptive search strategy that is implemented through re-initialization during the evolutionary process. …”
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Cluster-projected matrix product state: Framework for engineering exact quantum many-body ground states in one and two dimensions by Hidehiro Saito, Chisa Hotta

“…We propose a framework to design concurrently a frustration-free quantum many-body Hamiltonian and its numerically exact ground states on a sufficiently large finite-size cluster in one and two dimensions using an elementary matrix product state (MPS) representation. …”
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REVIEW OF FEATURE SELECTION METHODS USING OPTIMIZATION ALGORITHM (Review paper for optimization algorithm) by Zana O. Hamad

“…Many works have been done to reduce complexity in terms of time and memory space. …”
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Triple Mann Iteration Method for Variational Inclusions, Equilibria, and Common Fixed Points of Finitely Many Quasi-Nonexpansive Mappings on Hadamard Manifolds by Lu-Chuan Ceng, Yun-Yi Huang, Si-Ying Li, Jen-Chih Yao

“…Through some suitable assumptions, we prove that the sequence constructed in the suggested algorithm is convergent to an element in the set of common solutions. …”
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Parallel Computing for Sorting Algorithms by Baghdad Science Journal

“…Because sorted data are easier to manipulate than randomly ordered data, many algorithms require sorted data. Sorting is of additional importance to parallel computing because of its close relation to the task of routing data among processes, which is an essential part of many parallel algorithms. …”
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An Algorithmic Framework for Multiobjective Optimization by T. Ganesan, I. Elamvazuthi, Ku Zilati Ku Shaari, P. Vasant

“…Multiobjective (MO) optimization is an emerging field which is increasingly being encountered in many fields globally. Various metaheuristic techniques such as differential evolution (DE), genetic algorithm (GA), gravitational search algorithm (GSA), and particle swarm optimization (PSO) have been used in conjunction with scalarization techniques such as weighted sum approach and the normal-boundary intersection (NBI) method to solve MO problems. …”
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Hybrid Algorithm for Image Denoising by Hanan Ali

“…The development in life has made the need for using images very important in many fields like space, engineering and medicine. …”
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Development Binary Search Algorithm by Baghdad Science Journal

“…There are many methods of searching large amount of data to find one particular piece of information. …”
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Distributivity, partitioning, and the multiplication algorithm by Chris Hurst, Ray Huntley

“…It is important that students understand how the property informs the written multiplication algorithm. Another component of successful use of the standard multiplication algorithm is extended number facts and the paper also explores students’ ability to understand and generate them. …”
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Comparative study of whale optimization algorithm and flower pollination algorithm to solve workers assignment problem by Huthaifa Al-Khazraji

“…Many important problems in engineering management can be formulated as Resource Assignment Problem (RAP). …”
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Impact of parameter control on the performance of APSO and PSO algorithms for the CSTHTS problem: An improvement in algorithmic structure and results. by Muhammad Ahmad Iqbal, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Rehan Naeem, Akhtar Rasool

“…It has been solved by many metaheuristic optimization algorithms, as found in the literature. …”
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