A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies by Huarong Xu, Qianwei Deng, Zhiyu Zhang, Shengke Lin

“…Abstract Particle Swarm Optimization (PSO), a meta-heuristic algorithm inspired by swarm intelligence, is widely applied to various optimization problems due to its simplicity, ease of implementation, and fast convergence. …”
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Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles by Christoph Finkensiep, Petter Ericson, Sebasian Klassmann, Martin Rohrmeier

“…This model is trained on two datasets using Bayesian variational inference, comprising scores of Western classical and popular music, respectively, and containing harmonic annotations as well as heuristically determined note-type labels. We find that the proposed characterization of chords is indeed learnable and the specific inferred profiles match previous music-theoretic accounts. …”
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INTERPASSIVITY AS A SUBJECTIVE EFFECT OF MODERN MEDIA-CULTURE: TO THE STATEMENT OF PROBLEM by Olena V. Khodus

“…Methodological base of research of contemporary experience of subjectivity is heuristic "ontological turn" in social theory, which allows to consider the subjectivity not as a reality (given), but as a procedural phenomenon, performativity, which exist in conditions of unstable ontologies, world without guarantees, indirect, thus, mass-media representations. …”
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Quo Vadis: Anthropological Dimension of the Modern Civilization Crisis by V. M. Shapoval, I. V. Tolstov

“…The purpose of the article is the analysis of the causes of the systemic crisis that hit modern civilization through the description of its main structures, identifying the relationship between its elements, assessments of their heuristic potential. This will open up opportunities for finding ways to resolve this crisis, new directions of civilizational development. …”
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The Anthropocene and the biodiversity crisis: an eco-evolutionary perspective by Jarne, Philippe

“…., climate change) on biodiversity, this representation is used to heuristically show the relevance of an eco-evolutionary perspective: (i) to analyze how biodiversity will respond to the stressors, for example by seeking out more suitable conditions or adapting to new conditions; (ii) to serve in predictive exercises to envision future dynamics (decades to centuries) under stressor impact; (iii) to propose nature-based solutions to the crisis. …”
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In-Depth Learning Layout and Path Optimization of Energy Service Urban Distribution Sites under e-Commerce Environment by Kun Wang, Ki-Hyung Bae

“…Algorithms mainly include two-stage hybrid heuristic algorithm of cluster analysis, maximum coverage and genetic algorithm; simulation analysis is conducted to verify the effectiveness of the model and algorithm by data simulation, finally get the integrated optimization plan of distribution center location and routing, and put forward the operation strategy through the result expansion analysis. …”
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getphylo: rapid and automatic generation of multi-locus phylogenetic trees by T. J. Booth, S. Shaw, P. Cruz-Morales, T. Weber

“…Orthologues are identified heuristically by searching for singletons (single copy genes) across all input genomes and the phylogeny is inferred from a concatenated alignment of all coding sequences by maximum likelihood. …”
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Education Phenomenon in Terms of “Metaphysics of Man” by G. K. Saikina

“…The novel nature of the study is in the substantiation of the heuristic meaning of the comparative analysis of the institutional and metaphysical dimensions (modes of existence, aspects) of the educational process, which appeared to us in the form of individual models of education. …”
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Merab Mamardashvili: Event of Thought and Pedagogic Practice by D. G. Ryndin

“…If one seeks to explore the full heuristic potential of the concept, it is necessary to take into account its essential affiliation with non-classical ontology. …”
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Exploiting Multiple Channels for Low Latency and Semireliable Broadcasting in Cognitive Wireless Sensor Networks by Tae-Sung Kim, Sok-Hyong Kim, Bo-Kyum Kim, Young-Yong Kim

“…Fundamentally, CA-CBT builds a broadcast tree and then uses several heuristic procedures to allocate collision-free channels to links on the tree. …”
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Self-Supervised Chinese Ontology Learning from Online Encyclopedias by Fanghuai Hu, Zhiqing Shao, Tong Ruan

“…First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO.…”
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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…To address this, the SEIAR non-integer order dynamic model is employed, enhancing the precision of disease spread estimation. A heuristic approach is proposed for parameter estimation using a Genetic Optimization Algorithm, which evaluates all possible scenarios for the order and suggests parameter sets that perform well across these scenarios. …”
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Cognitive Load in eCommerce Applications—Measurement and Effects on User Satisfaction by Peter Schmutz, Silvia Heinz, Yolanda Métrailler, Klaus Opwis

“…Thus we suggest browse/search preference as a promising heuristic assessment method of cognitive load.…”
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Genetic optimization–based scheduling in maritime cyber physical systems by Tingting Yang, Hailong Feng, Jian Zhao, Ruilong Deng, Ying Wang, Zhou Su

“…Specially, the genetic based algorithm as well as the improved genetic based algorithm are described in detail, including a novel chromosome representation, a heuristic initialization procedure, as well as a modified crossover and mutation process. …”
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A vibration damping optimization algorithm to solve flexible job shop scheduling problems with reverse flows by Esmaeil Mehdizadeh, Fatemeh Soleimaninia

“…Due to the NP-hardness of the problem, a meta-heuristic, namely the Vibration Damping Optimization (VDO) algorithm with tuned parameters using the Taguchi method, is utilized to solve large-scale problems. …”
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Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network by Xiaolei Ru, Xiangdong Xu, Yang Zhou, Chao Yang

“…To identify these critical segments, we assume that the states of floating cars within different road segments are correlative and mutually representative and design a heuristic algorithm utilizing the attention mechanism embedding in the graph neural network (GNN). …”
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Self-Administered Information Sharing Framework Using Bioinspired Mechanisms by Huibo Bi, Yanyan Chen, Wen-Long Shang, Chengcheng Song, Wenbo Huang

“…Previous research mainly focuses on investigating novel protocols to save energy by reducing data traffic with the aid of optimal or heuristic algorithms. However, data packet behaviours and significant parameters involved are mostly preconfigured in a supervised-learning fashion rather than using an unsupervised learning paradigm and therefore may not adapt to uncertain or fast-changing environments. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…When attempting to classify data with a high degree of uncertainty, many researchers have turned to heuristic approaches and machine learning (ML) methods. …”
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Flexible Bus Route Optimization Scheduling Model by Ji-yang Sun, Yan-yan Chen, Jian-ling Huang, Pan-yi Wei, Cheng-cheng Song

“…This model uses the heuristic algorithm based on gravity model to determine the following: passenger booking; vehicle passenger capacity; team known conditions such as size, according to the dynamic changes of passenger demand for real-time iterative update shuttle travel time; vehicle operating costs (vehicle); and time cost for passengers (passengers waiting time for the vehicle, actual time of arrival, and the difference between expected and actual times of arrival) before minimization as the target. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…We discuss representative methods commonly employed in nanophotonic design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, and swarm-based approaches, in addition to adjoint-based optimization. …”
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