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Detecting Hidden Information from a Spread Spectrum Watermarked Signal by Genetic Algorithm
Detecting Hidden Information from a Spread Spectrum Watermarked Signal by Genetic Algorithm...
A New Approach for Maintenance Scheduling of Generation Units in Power Market
A New Approach for Maintenance Scheduling of Generation Units in Power Market
Promoting the optimal Maintenance Schedule of Generation Units in a Competitive Environment Based on Genetic Algorithm
Promoting the optimal Maintenance Schedule of Generation Units in a Competitive Environment Based on Genetic Algorithm...
Application of Multi-Objective Optimization for Pollutants Emission Control in an Oil-Fired Furnace
This paper is aimed at the reduction of soot and NOx emissions, while maintaining reasonable temperature. For this goal, a computational model, Sprint CFD code, is incorporated with genetic algorithm (GA) to solve multi-objective optimization...
Evaluating Parallel Heuristic Genetic Algorithms for Real Time Routing in GIS Environment
This paper uses hyper network for parallel algorithm in real time routing and develops its efficiency based on genetic algorithm....
TDMA scheduling in wireless sensor networks using hybrid of genetic algorithm and particle swarm optimization
. In this study, by hybrid of genetic algorithm and particle swarm optimization algorithm, this problem is optimized. Three algorithms are used for comparisons. It is shown that proposed algorithm is better than two algorithms on a total time and energy...
Resource-Constrained Project Scheduling Problem with Flexible Work Profiles: A Genetic Algorithm Approach
work profile and start time of each activity in order to minimize the project makespan. We propose a procedure to find all feasible work profiles of each activity and we use a genetic algorithm with a new crossover operator to schedule the activities...
Modification of Genetic Algorithm by RSM
In the genetic algorithm there is not strong relation between the parameters. We consider a method on the basis of RSM which first of all specifies the obtained solution by GA is near the global optimal solution or not? When the response is negative...