Now showing items 1-6 of 6
Genetic algorithms with immigrants and memory schemes for dynamic shortest path routing problems in mobile ad hoc networks.
In recent years, the static shortest path (SP) problem has been well addressed using intelligent optimization techniques, e.g., artificial neural networks, genetic algorithms (GAs), particle swarm optimization, etc. However, ...
Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks.
(IFAC, the International Federation of Automatic Control, 2010)
In this paper, the problem of dynamic quality-of-service (QoS) multicast routing in mobile ad hoc networks is investigated. Lots of interesting works have been done on multicast since it is proved to be a NP-hard problem. ...
Genetic algorithms with guided and local search strategies for university course timetabling.
The university course timetabling problem (UCTP) is a combinatorial optimization problem, in which a set of events has to be scheduled into time slots and located into suitable rooms. The design of course timetables for ...
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.
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 ...