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Now showing items 11-20 of 24
Minimum Cost Consensus Models based on Random Opinions
(Elsevier, 2017-07-25)
In some complex group decision making cases, the opinions of decision makers (DMs) present random characteristic. However, it is difficult to determine the range of opinions by knowing only their probability distributions. ...
Dynamic Structural Neural Network
(IOS Press, 2017-12)
Artificial neural network (ANN) has been well applied in pattern recognition, classification and machine learning thanks to its high performance. Most ANNs are designed by a static structure whose weights are trained ...
Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.
(World Federation on Soft Computing (WFSC), 2011)
In this paper, the quality of service multicast routing and channel assignment (QoS-MRCA) problem is investigated. It is proved to be a NP-hard problem. Previous work separates the multicast tree construction from the ...
Metaheuristics for dynamic combinatorial optimization problems.
(The Institute of Mathematics and its Applications., 2012)
Many real-world optimization problems are combinatorial optimization problems subject to dynamic environments. In such dynamic combinatorial optimization problems (DCOPs), the objective, decision variables and/or constraints ...
A general framework of multi-population methods with clustering in undetectable dynamic environments.
(IEEE, 2012)
To solve dynamic optimization problems, multiple population methods are used to enhance the population diversity for an algorithm with the aim of maintaining multiple populations in different subareas in the fitness ...
Genetic algorithm and neural network hybrid approach for job-shop scheduling
(ACTA Press, 1998)
This paper proposes a genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) hybrid approach for job-shop scheduling problems. In the hybrid approach, GA is used to iterate for searching optimal ...
Primal-dual genetic algorithms for royal road functions
(Elsevier Science Ltd, 2002)
Based on Holland's simple genetic algorithm (SGA) there have been many variations developed. Inspired by the phenomenon of diploid genotype and dominance mechanisms broadly existing in nature, we have proposed a primal-dual ...
A genetic algorithm for independent job scheduling in grid computing
(Brno University of Technology, Brno, Czech Republic, 2017-06)
Grid computing refers to the infrastructure which connects geographically distributed computers owned by various organizations allowing their resources, such as computational power and storage capabilities, to be shared, ...
Adaptive mutation using statistics mechanism for genetic algorithms
(Springer, 2004)
It has long been recognized that mutation is a key ingredient in genetic algorithms (GAs) and the choice of suitable mutation probability will have a significant effect on the performance of genetic search. In this paper, ...
A new genetic algorithm based on primal-dual chromosomes for royal road functions
(2001-09)
Genetic algorithms (GAs) have been broadly studied by a huge amount of researchers and there have been many variations developed based on Holland's simple genetic algorithm (SGA). Inspired by the phenomenon of diploid ...
