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[PDF] Top 20 Distributed optimization with population dynamics

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Distributed optimization with population dynamics

Distributed optimization with population dynamics

... the optimization process to obtain dispatched pow- ers above the technical specifications of the ...of distributed generators in smart grids must be performed in short time intervals ...the ... See full document

70

A population dynamics approach to distributed coverage control

A population dynamics approach to distributed coverage control

... as a maximization problem and is proposed to be solved through traditional optimization algorithms (in explanation, gradient descent). In this case, the sensing radius is constant and each sensor knows information ... See full document

7

Distributed optimization, control and learning in multiagent networks

Distributed optimization, control and learning in multiagent networks

... static optimization problems, where the objective does not drift with ...networks with continuous adaptation and learning abilities to enable tracking of drifting ...the dynamics of diffusion ... See full document

302

Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization

Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization

... entire population, like Ursem in [6], by applying the hill-valley detection mechanism among the best individuals of each subpopulation, named ...populations with different evolutionary objectives and, given ... See full document

8

Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm

Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm

... and distributed computing platforms one of the most popular approaches to speedup the EA search ...their population-based approach, EAs are suitable for parallelization because their main operations ... See full document

6

Distributed optimization and consensus based on population dynamics and graphs

Distributed optimization and consensus based on population dynamics and graphs

... a distributed way has been ...stable, optimization problems with multiple constraints are solved in a distributed way based on the idea to have dynamic population feasible regions given ... See full document

20

Galaxy population identification with a phylogenetic approach.

Galaxy population identification with a phylogenetic approach.

... The utility of phylogenetics studies in galaxies, came from the necessity of find a reliable method to solve galaxy evolution which remains as an open problem in modern astrophysics. Galaxies are complex systems made up ... See full document

71

Modifier adaptation for process optimization with uncertainty

Modifier adaptation for process optimization with uncertainty

... upper optimization layer presents certain drawbacks, such as the proper choice of many tuning parameters that may affect the convergence to the optimum, or the fact that each iteration can require several ... See full document

239

Combining distributed queuing with energy harvesting to enable perpetual distributed data collection applications

Combining distributed queuing with energy harvesting to enable perpetual distributed data collection applications

... Harvesting-aware Distributed Queuing), a novel MAC protocol that combines Distributed Queuing (DQ) with Energy Harvesting (EH) to address data collection applications in industrial scenarios using ... See full document

18

Growth and biosurfactant synthesis by Nigerian hydrocarbon degrading estuarine bacteria

Growth and biosurfactant synthesis by Nigerian hydrocarbon degrading estuarine bacteria

... compared with syn- thetic surfactants: lower toxicity, higher biode- gradability, better environmental compatibility, higher foaming, higher selectively and specific activity at extreme temperatures, pH and salin- ... See full document

9

TítuloSize and shape optimization of aluminum tubes with GFRP honeycomb reinforcements for crashworthy aircraft structures

TítuloSize and shape optimization of aluminum tubes with GFRP honeycomb reinforcements for crashworthy aircraft structures

... Due to the large computational requirements of this investigation based on finite element modeling and analysis, the use of surrogate models is imperative. These meth- ods have proved very effective when relating the ... See full document

23

TítuloMinimum weight with stress constraints
topology optimization

TítuloMinimum weight with stress constraints topology optimization

... structural optimization problems have been thereafter mainly written in terms of minimum weight formulations, with non linear constraints that limit the maximum allowable stresses and displacements [2, 3, ... See full document

14

Optimization of logic programs with dynamic scheduling

Optimization of logic programs with dynamic scheduling

... W h e n formalizing applicability conditions for our transformations we will be interested in annotated programs, in which information about run-time behaviour is collected at program [r] ... See full document

15

Multi-objective optimization with a Gaussian PSO algorithm

Multi-objective optimization with a Gaussian PSO algorithm

... front with our algorithm and, the value of the metrics (maximum, minimum, mean and deviation ...PSO-based with some similar characteristics that G-MOPSO) both described ...run with the JMetal-NEO ... See full document

12

Positive and negative feedbacks in human population dynamics: future equilibrium or collapse?

Positive and negative feedbacks in human population dynamics: future equilibrium or collapse?

... human dynamics and the good fi t of logistic models in which carry- ing capacity is a dynamic variable infl uenced by population size (Cohen 1995, Meyer and Ausubel ...of population growth rates ... See full document

11

Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

... NP-hard optimization problem (thus, only approximated solving methods such as metaheuristics may be ...deal with the non convex optimization problem of the unsupervised clustering of data ... See full document

20

Multiobjective multicast routing with Ant Colony Optimization

Multiobjective multicast routing with Ant Colony Optimization

... new proposal is able to solve a multicast routing problem in a truly multiobjective context, considering all four objectives at the same time, for the first time using an algorithm based on Ant Colony ... See full document

17

Topology and Shape optimization for CFD-Computational Fluid Dynamics

Topology and Shape optimization for CFD-Computational Fluid Dynamics

... solid optimization, the shape optimization using shape derivatives is still not used widely for CFD ...differentiating with respect to the domain is ilustrated in a generic form and implemented to ... See full document

41

Towards distributed reasoning for behavioral optimization

Towards distributed reasoning for behavioral optimization

... colony optimization (ACO). By this we provide a foundation for distributed reasoning about different properties of the solution space represented by different viewpoint ... See full document

10

Distributed black-box optimization of nonconvex functions

Distributed black-box optimization of nonconvex functions

... Although finding the global optimum of an unknown function with multiple local extrema is a difficult task, recent results on global optimization [1, 2, 3, 4, 5] show that a new class [r] ... See full document

5

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