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This paper proposed an improved BFO with adaptive chemo taxis step for global optimization. A non-linearly decreasing exponential modulation model is proposed to optimize the chemo taxis step length. Four parameters: modulation index, coefficient, upper chemo taxis step length, and lower chemo taxis step length were discussed and considered to further improve the performance of BFO. To illustrate...
In view of the slowness and the locality of convergence for Simple Genetic Algorithm (SGA) in solving complex optimization problems, we propose an improved genetic algorithm named Multi-Stage Composite Genetic Algorithm (MSC-GA) through reducing the optimization-search range gradually, and the structure and implementation steps of MSC-GA is also discussed. Then, we consider its global convergence...
To prevent premature convergence frequently appeared in the particle swarm optimization (PSO) for the complex and highly nonlinear relationship between the system inputs and output(s), an improved particle swarm optimization was proposed, named particle swarm optimization with invasive weed (IW-PSO). In IW-PSO, PSO and IWO were integrated in parallel form based on the powerful local search ability...
The Least Squares (LS) problem has been popular in industrial modeling applications due to its speed, efficiency and simplicity. However, the LS solution is known to be unreliable when the data distribution is not Gaussian and is flat-tailed and such data anomalies occur frequently in the industry. The Least Absolute Value (LAV) problem overcomes these difficulties but at the expense of greatly increasing...
Differential Evolution (DE) is a simple evolutionary algorithm which is inherently adaptive. This is due to the fact that the mutation amount is derived from the difference of randomly chosen members of the population, which is automatically reduced as the population diversity drops. The process is however governed by an important weighing parameter F, to which the global properties of the DE are...
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