Advances in Hybrid Evolutionary Computation for Continuous Optimization [PDF]
, 2011 Evolutionary Algorithms (EAs) are a set of optimization techniques that have become highly popular in recent decades. One of the main reasons for this success is that they provide a general purpose mechanism for solving a wide range of problems.
Muelas Pascual, Santiago
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A DISTRIBUTED SIMULATED ANNEALING FRAMEWORK FOR ENGINEERING OPTIMIZATION
, 2003 Engineering optimization problems are known to be difficult to solve using mathematical programming techniques because of large search spaces, complex objective and constraint functions, and, in many cases, their combinatorial nature. Simulated annealing
Sivakumar Pabolu V +2 more
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A DISTRIBUTED APPROACH TO ANT COLONY OPTIMIZATION [PDF]
Swarm Intelligence(SI) is the emergent collective intelligence of groups of simple agents. Economy is an example of SI. Simulating an economy using Ant Colony algorithms would allow prediction and control of fluctuations in the complex emergent behavior ...
Eng. Sorin Ilie Ph. D Student +1 more
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SIMULATION OPTIMIZATION BASED ON A HETEROGENEOUS COMPUTING ENVIRONMENT [PDF]
, 2001 We solve a simulation optimization using a deterministic nonlinear solver based on the sample-path concept. The method used a quadratic model built from a collection of surrounding simulation points.
Sinapiromsaran, Krung, Ferris, Michael
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A distributed computing system used for concurrent optimization methods on a violin top
, 2003 Concurrent optimization is performed with two optimization methods on a violin top. The optimization methods used are SA (Simulated Annealing) and MMA (Method of Moving Asymptotes). All calculations in this study are made in a distributed environment for
Carlsson, Peter,, Tinnsten, Mats,
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Security Optimization for Distributed Applications Oriented on Very Large Data Sets [PDF]
The paper presents the main characteristics of applications which are working with very large data sets and the issues related to security. First section addresses the optimization process and how it is approached when dealing with security.
Mihai DOINEA, Sorin PAVEL
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A grid-based infrastructure for distributed retrieval [PDF]
, 2009 In large-scale distributed retrieval, challenges of latency, heterogeneity, and dynamicity emphasise the importance of infrastructural support in reducing the development costs of state-of-the-art solutions.
Sibeko, M. +9 more
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Flexible Transmission Network Planning Considering the Impacts of Distributed Generation [PDF]
The restructuring of global power industries has introduced a number of challenges, such as conflicting planning objectives and increasing uncertainties,to transmission network planners.
Junhua Zhao, John Foster
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Adaptive fractional distributed optimization algorithm with directed spanning trees [PDF]
summary:Distributed optimization has garnered significant attention in past decade, yet existing algorithms mainly rely on Laplacian matrix information for parameter settings, limiting their adaptability and applicability. To design the fully distributed
Wei, Yiheng +3 more
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Coordination Techniques for Distributed Artificial Intelligence
, 1996 Coordination, the process by which an agent reasons about its local actions and the (anticipated) actions of others to try and ensure the community acts in a coherent manner, is perhaps the key problem of the discipline of Distributed Artificial ...
Jennings, N. R., Jennings, NR
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