Results 91 to 100 of about 98,123 (253)
ProceedingsNew metaheuristic algorithms have recently been created based on Lévy Flight (LF), drawing inspiration from biological and natural events [...]
Himanshukumar Rajendrabhai Patel
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Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
Energy Reports, 2019 This study proposes an optimal model to design and simulate the proton exchange membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification of the ...
Yan Cao +4 more
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The predatory behavior of ants: an impressive panoply of morphological adaptations
Insect Science, EarlyView.This review focuses on predation in ants, showing the wide diversity of cases from solitary foraging to group hunting tactics, as well as the evolution of mandible shape frequently adapted to capture specific prey. Although most ants are generalist feeders, finding their sugary substances directly on plants or indirectly via sap‐sucking insects, some ...
Alain Dejean +6 more
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The Design and Application of Quantum-Behaved Particle Swarm Optimization Based on Levy Flight
Chemical Engineering Transactions, 2016 Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms.
Y.Y. Liu
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Effect of the microbiome on pathogen susceptibility across four Drosophilidae species
Insect Science, EarlyView.Four Drosophilidae species were used to investigate how variation in the host microbiome influences susceptibility to infection. Microbial composition and abundance differed among species and treatments. The effects of microbiome manipulation on host survival were both species‐ and pathogen‐specific.
Hongbo Sun, Ben Longdon, Ben Raymond
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Multi-criteria Scheduling in Parallel Environment with Learning Effect
Foundations of Computing and Decision SciencesThis paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem.
Liu Xinbo +4 more
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MathematicsAddressing real-time optimization problems becomes increasingly challenging as their complexity continues to escalate over time. So bio-optimization algorithms (BoAs) come into the picture to solve such problems due to their global search capability ...
Madhusmita Das +3 more
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Long-range epidemic spreading with immunization
, 2008 We study the phase transition between survival and extinction in an epidemic process with long-range interactions and immunization. This model can be viewed as the well-known general epidemic process (GEP) in which nearest-neighbor interactions are ...
Adamek J +8 more
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The American Journal of Economics and Sociology, EarlyView.ABSTRACT The transport sector is one of the largest contributors to global greenhouse gas emissions, making it a key priority for climate mitigation policies. In this context, renewable fuels represent a promising complementary pathway to transport electrification, particularly due to their compatibility with existing internal combustion engine ...
Kpanoga Kolombia
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Fluctuation Dissipation Relation for a Langevin Model with Multiplicative Noise
, 2001 A random multiplicative process with additive noise is described by a Langevin equation. We show that the fluctuation-dissipation relation is satisfied in the Langevin model, if the noise strength is not so strong.Comment: 11 pages, 6 figures, other ...
Curado E. M. F. +13 more
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