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This paper is a further development of the investigation of a biologically inspired method used as a control and coordination mechanism for mobile robots swarm. Especially, exploration and monitoring tasks are solved by this method. This paper describes solutions for two specific situations that has an impact on the performance and achievement of the global goal.
This article deals with design of the system used to an evacuation plan simulation and evacuation management supported by evacuation route signs. Simulation of evacuation plans is a relatively complex problem. It is necessary to simulate a number of separate processes which interact together in the result. We chose Cellular automata as simulation environment. The advantage of using Cellular automata...
This article compares two approaches by jobshop scheduling problem (JSSP) in real manufacturing system. The first approach is based on mechanisms inspired by biological evolution and the immune system. The second stochastic optimization algorithm is based on social simulation models.
Growing ensemble of linear classifiers uses the 'divide and conquer' strategy in pattern recognition tasks. Performing the competitive learning the feature space is divided into subregions where linear classifiers are constructed. The structure of the ensemble is growing during the training and it is self determined. The overall output of the ensemble is the output of a winning member. The method...
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