Results 11 to 20 of about 29,939 (156)
The extremal problems on the inertia of weighted bicyclic graphs [PDF]
Discrete Mathematics, Algorithms and Applications, 2014 Let Gw be a weighted graph. The number of the positive, negative and zero eigenvalues in the spectrum of Gw are called positive inertia index, negative inertia index and nullity of Gw, and denoted by i+(Gw), i-(Gw), i0(Gw), respectively. In this paper, sharp lower bound on the positive (respectively, negative) inertia index of weighted bicyclic graphs
Shibing Deng, Shuchao Li, Feifei Song
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Algorithms, 2022 A comfortable indoor environment contributes to a better quality of life and wellbeing for its occupants. The indoor temperature, lighting, and air quality are the main controlling factors of user comfort levels.
Farah Nur Arina Baharudin +4 more
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Applied Sciences, 2022 Determining a reasonable main cable curve is the foundation of suspension bridge design, and the accuracy and efficiency of the curve-finding problem are key to the design of a suspension bridge.
Zhaolan Wei +6 more
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Inertia Weight strategies in Particle Swarm Optimization [PDF]
2011 Third World Congress on Nature and Biologically Inspired Computing, 2011 Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the social learning of birds or fishes. It is a swarm intelligence technique for optimization developed by Eberhart and Kennedy [1] in 1995. Inertia weight is an important parameter in PSO, which significantly affects the convergence and exploration-exploitation ...
Jagdish Chand Bansal +5 more
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Independent effects of adding weight and inertia on balance during quiet standing
BioMedical Engineering OnLine, 2012 Background Human balance during quiet standing is influenced by adding mass to the body with a backpack, with symmetrically-applied loads to the trunk, or with obesity.
Costello Kerry +2 more
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On the inertia of weighted (k - 1)-cyclic graphs
Ars Mathematica Contemporanea, 2015 Let G w be a weighted graph. The inertia of G w is the triple In( G w ) = ( i + ( G w ), i − ( G w ), i 0 ( G w )) , where i + ( G w ), i − ( G w ), i 0 ( G w ) are, respectively, the number of the positive, negative and zero eigenvalues of the adjacency matrix A ( G w ) of G w ...
Deng, Shibing, Li, Shuchao, Song, Feifei
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Particle swarm optimization with an oscillating inertia weight [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 In this paper, we propose an alternative strategy of adapting the inertia weight parameter during the course of particle swarm optimization, by means of a non-monotonic inertia weight function of time. Results demonstrate that an oscillating inertia weight function is competitive and in some cases better than established inertia weight functions, in ...
Kentzoglanakis, Kyriakos, Poole, Matthew
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Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight
IEEE Access, 2023 The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains.
Weiming Lin
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AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
Sensors, 2022 Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing.
Said Nabi +3 more
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Discrete Dynamics in Nature and Society, 2006 This paper presents an alternative and efficient method for solving the optimal control of single-stage hybrid manufacturing systems which are composed with two different categories: continuous dynamics and discrete dynamics.
M. Senthil Arumugam, M. V. C. Rao
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