Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Neural network design
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Modern Heuristic Optimization Techniques With Applications To Power Systems
Modern Heuristic Optimization Techniques With Applications To Power Systems
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This paper has two main parts. In the first part a black-box model of an internal combustion engine is developed using neural networks, and in the second part using the created engine model and linking it to ADVISOR (a vehicle driveline simulation software), an optimization process is performed using both particle swarm optimization technique and classical derivative-based methods. The optimization objective is minimizing fuel consumption while its constraints are the certain level of emission produced by vehicle during a standard driving cycle. The process in the case of Paykan 1600-HC engine showed that the particle swarm optimization technique is much more effective than the classical methods.