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A variant on the original bacterial foraging optimization (BFO) algorithm, called the cooperative bacterial foraging optimization (CBFO), is proposed in this paper. The results of various experimental studies using a suit of 4 widely used test functions have demonstrated the superiority of the proposed CBFO approach over the other three search techniques.
Through the analysis of the transit network solution of optimal path algorithm, this paper proposes the bus route optimization algorithm of DNA to consider both the shortest distance by bus and the minimum interchange, and gives a detailed biological process. It not only puts forward a new feasible algorithm for transit network optimal path search, but also provides an practical opportunity for the...
Inertia weight is one of the most important adjustable parameter of particle swarm optimization (PSO). The proper selection of inertia weight can prove a right balance between global search and local search. In this paper, two novel PSOs with non-linear inertia weight based on the tangent function and the arc tangent function are provided, respectively. The performance of the proposed PSO model is...
This paper presents a hybrid evolutionary algorithm that efficiently solves multiobjective optimization problems. The idea is to bring the strength of adaptive local search (ALS) to bear upon the realm of multiobjective evolutionary optimization. The ALS is developed by harmonizing a weighted fitness policy with a restricted mutation: it applies mutation only to a set of superior individuals in accordance...
This paper proposes a new algorithm for topology optimization by combining the features of genetic algorithms (GAs) and optimality criteria method (OC). An efficient treatment of initial population with optimality criteria method for evolutionary algorithm is presented which is different from traditional GAs application in structural topology optimization. The optimality method initializes a group...
The main core of HMM-based speech recognition systems is the Viterbi Algorithm. Viterbi is performed using dynamic programming to find out the best alignment between input speech and given speech model. In this paper, dynamic programming is replaced by a search method which is based on particle swarm optimization algorithm. The major idea is focused on generating an initial population of segmentation...
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