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This paper presents an approach to single-position, intraday automated
trading based on a neurogenetic algorithm. An artificial neural
network is evolved to provide trading signals to a simple automated trading
agent. The neural network uses open, high, low, and close quotes of
The particle swarm optimization (PSO) algorithm is designed to find a single
optimal solution and needs some modifications to be able to locate multiple optima on a multimodal function. In parallel with evolutionary computation algorithms, these modifications can be grouped in the framework
The optimization of the nozzle selection, for sequencing component pick and place operations, is very important to the efficiency of multihead surface mounting machine (SMM). The nozzle change operation, that is, choosing the best nozzle head relative pair that is most effective for picking and...
A discrete version of particle swarm optimization (DPSO) is employed to solve uncapacitated facility location (UFL) problem which is one of the most widely studied in combinatorial optimization. In addition, a hybrid version with a local search is defined to get more efficient...
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