PMT: opposition-based learning technique for enhancing meta-heuristic performance by Alamri, Hammoudeh S., Kamal Z., Zamli

“…To evaluate the PMT's performance and adaptability, the PMT has been applied to four contemporary meta-heuristic algorithms, differential evolution (DE), particle swarm optimization (PSO), simulated annealing (SA), and whale optimization algorithm (WOA), to solve 15 well-known benchmark functions. …”
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Limited trophic partitioning among sympatric delphinids off a tropical oceanic atoll. by Hillary Young, Katherine Nigro, Douglas J McCauley, Lisa T Ballance, Erin M Oleson, Simone Baumann-Pickering

“…In this study, we used stable isotope analysis of skin biopsies to compare the isotopic, and thus, trophic niches of three sympatric delphinids in the waters surrounding Palmyra Atoll, in the Central Tropical Pacific: the melon-headed whale (Peponocephala electra), Gray's spinner dolphin (Stenella longirostris longirostris), and the common bottlenose dolphin (Tursiops truncatus). δ15N values suggested that T. truncatus occupied a significantly higher trophic position than the other two species. δ13C values did not significantly differ between the three delphinds, potentially indicating no spatial partitioning in depth or distance from shore in foraging among species. …”
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Temperature distributions of internal flow and external jet fields of double serpentine convergent nozzle for turbofan by Sun Peng, Zhou Li, Wang Zhanxue, Shi Jingwei

“…However, the average value of temperature of the lower wall is merely 7.1% higher than that of the upper wall. The "whale tail" high-temperature core area is formed on the exit plane of the double-serpentine convergent nozzle. …”
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Mosasauroid phylogeny under multiple phylogenetic methods provides new insights on the evolution of aquatic adaptations in the group. by Tiago R Simões, Oksana Vernygora, Ilaria Paparella, Paulina Jimenez-Huidobro, Michael W Caldwell

“…They can be considered one of the few lineages in the evolutionary history of tetrapods to have acquired a fully aquatic lifestyle, similarly to whales, ichthyosaurs and plesiosaurs. Despite a long history of research on this group, their phylogenetic relationships have only been tested so far using traditional (unweighted) maximum parsimony. …”
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Hybrid GWO-PSO based optimal placement and sizing of multiple PV-DG units for power loss reduction and voltage profile improvement by Assen Beshr Alyu, Ayodeji Olalekan Salau, Baseem Khan, Joy Nnenna Eneh

“…In addition, the proposed hybrid GWO-PSO algorithm performed better compared to the other four algorithms (Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), Particle swarm optimization (PSO), and sine cosine algorithm (SCA)) in terms of achieving the best multi-objective function (MOF) outcome.…”
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Optimizing performance of a reduced switch multi‐level inverter with moth‐flame algorithm and SHE‐PWM by Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, Aisha Muhammad

“…To optimize the inverter's performance, Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), and Whale Optimization Technique (WOA) are utilized to apply the selective harmonic elimination technique. …”
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Mainly Visual Aspects of Emotional Laterality in Cognitively Developed and Highly Social Mammals—A Systematic Review by Guido Gainotti

“…The aim of the present review therefore consisted in trying to expand this survey to other cognitively developed and highly social mammals, focusing attention on mainly visual aspects of emotional laterality, in studies conducted on the animal categories of horses, elephants, dolphins and whales. The 35 studies included in the review took into account three aspects of mainly visual emotional laterality, namely: (a) visual asymmetries for positive/familiar vs. negative/novel stimuli; (b) lateral position preference in mother–offspring or other affiliative interactions; (c) lateral position preference in antagonistic interactions. …”
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Classical and Heuristic Approaches for Mobile Robot Path Planning: A Survey by Jaafar Ahmed Abdulsaheb, Dheyaa Jasim Kadhim

“…The objective of this study is to present an overview of navigation strategies for mobile robots that utilize three classical approaches, namely: the roadmap approach (RM), cell decomposition (CD), and artificial potential fields (APF), in addition to eleven heuristic approaches, including the genetic algorithm (GA), ant colony optimization (ACO), artificial bee colony (ABC), gray wolf optimization (GWO), shuffled frog-leaping algorithm (SFLA), whale optimization algorithm (WOA), bacterial foraging optimization (BFO), firefly (FF) algorithm, cuckoo search (CS), and bat algorithm (BA), which may be used in various environmental situations. …”
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Performance evaluation of grid connected photovoltaic system using novel HTLB-WOA regulated VPFOTADF controller by Akshaya Kumar Patra, Debswarup Rath, Sanjeeb Kumar Kar

“…The aim of this manuscript is the design of Hybrid Teaching Learning Based-Whale Optimization Algorithm -Variable Parameter Fractional Order Tilt Acceleration Derivative with Filter (HTLB-WOA regulated VPFOTADF) controller to reduce the harmonic distortion and improving performance of grid connected solar photovoltaic system. …”
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A Bearing Fault Diagnosis Method Based on PAVME and MEDE by Xiaoan Yan, Yadong Xu, Daoming She, Wan Zhang

“…Firstly, a new method hailed as parameter adaptive variational mode extraction (PAVME) is presented to process the collected original bearing vibration signal and obtain the frequency components related to bearing faults, where its two important parameters (i.e., the penalty factor and mode center-frequency) are automatically determined by whale optimization algorithm. Subsequently, based on the processed bearing vibration signal, an effective complexity evaluation approach named multiscale envelope dispersion entropy (MEDE) is calculated for conducting bearing fault feature extraction. …”
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Neurological Disease Rises from Ocean to Bring Model for Human Epilepsy to Life by John S. Ramsdell

“…These poisonings are not limited to sea lions, which serve as readily observed sentinels for other marine animals that strand during domoic acid poisoning events, including several species of dolphin and whales. Acute domoic acid poisoning is five-times more prominent in adult female sea lions as a result of the proximity of their year-round breeding grounds to major domoic acid bloom events. …”
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Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms by M. Thirunavukkarasu, Himadri Lala, Yashwant Sawle

“…To evaluate the performance, the Tasmanian devil Optimization (TDO) was compared to three meta-heuristic algorithms, called the COOT bird optimization algorithm (COOT), the Grey wolf algorithm (GWO), and the Beluga whale optimization (BWO), and determined the optimal design of the proposed off-grid energy system in terms of best and worst-case solutions. …”
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Application of Improved Butterfly Optimization Algorithm Combined with Black Widow Optimization in Feature Selection of Network Intrusion Detection by Hui Xu, Yanping Lu, Qingqing Guo

“…In order to verify the performance of the proposed BWO-BOA algorithm, the UNSW-NB15 dataset is selected for binary classification and multi-classification simulation experiments, and the feature selection models of BWO-BOA algorithm, BOA algorithm, BWO algorithm, Particle Swarm Optimization, Salp Swarm Algorithm, Whale Optimization Algorithm and improved Butterfly Optimization Algorithm are compared for validation. …”
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Effect of the Anionic Counterpart: Molybdate vs. Tungstate in Energy Storage for Pseudo-Capacitor Applications by Pratigya Sharma, Manickam Minakshi, Jonathan Whale, Annelise Jean-Fulcrand, Georg Garnweitner

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Spatial and temporal changes in the cetacean community structure at Bahía de La paz, BCS, México (1988-1991) by S Flores-Ramírez, J Urban-R, G Villarreal-Chávez, R Valle-Jiménez

“…Due to their high relative abundance and persistent presence, the long beak common (Delphinus capensis) and bottlenose (Tursiops truncatus) dolphins, as well as Bryde’s whales (Balaenoptera edeni) were, respectively, the most important odontocete and mysticete community members. …”
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Seasonal acoustic presence of marine mammals at the South Orkney Islands, Scotia Sea by Linn Åsvestad, Heidi Ahonen, Sebastian Menze, Andrew Lowther, Ulf Lindstrøm, Bjørn A. Krafft

“…Acoustic signals from five baleen whale species, two pinniped species and odontocete species were detected and separated into guilds. …”
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Neural Network Intelligent Control Based on MPSO by Aijun Kou, Xiaojun Li

“…In the experimental results, the MPSO optimized controller controlled the error within 0.01 within 0.02 seconds. At this time, the Whale Optimization Algorithm (WOA) optimized error was 0.072, and the PSO optimized error was 0.478. …”
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Proposed Update to the Taxonomy of Pestiviruses: Eight Additional Species within the Genus <i>Pestivirus</i>, Family <i>Flaviviridae</i> by Alexander Postel, Donald B. Smith, Paul Becher

“…In addition, pestivirus sequences have been found during metagenomics analysis of different non-ungulate hosts (bats, rodents, whale, and pangolin), but the consequences of this pestivirus diversity for animal health still need to be established. …”
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Cost-Aware and Energy-Efficient Task Scheduling Based on Grey Wolf Optimizer by Reyhane Ghafari, Najme Mansouri

“…The efficiency of the GWOTS algorithm is compared with the well-known meta-heuristic algorithms, namely Genetic Algorithm (GA), Dragonfly Algorithm (DA), Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Ant Colony Optimization (ACO), Gravitational Search Algorithm (GSA), Sooty Tern Optimization Algorithm (STOA), Artificial Hummingbird Algorithm (AHA), Multi-Verse Optimizer (MVO), and Sine Cosine Algorithm (SCA). …”
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Optimisation of vehicle routing problem with time windows using Harris Hawks optimiser by S.W. Chai, M.R. Kamaluddin, M.F.F. Ab. Rashid

“…Computational experiment indicated that the HHO came up with the best average fitness compared with other comparison algorithms in this study including Artificial Bee Colony (ABC), Particle Swarm Optimisation (PSO), Moth Flame Optimiser (MFO), and Whale Optimisation Algorithm (WOA). The optimisation results also indicated that all the stop points can be visited within the given time frames by using three vehicles.…”
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