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Multiple sequence alignment is one of the basic research areas in bioinformatics. In most cases while doing multiple sequence alignment, a totally unaligned set of sequences are used as an initial data. In this work, we have used Clustal X 2.0.11 program to process those initial data in some aligned way. Then roulette wheel selection operator is used to select the optimal cut points of sequences....
The degree Δ-closest phylogenetic 2nd root problem (ΔCPR2) is an NP-hard problem concerning phylogenetic tree reconstruction from a graph representing the similarities of the species concerned. Here we present an approximation algorithm for this problem for any fixed Δ >; 3. When |V| >; 3Δ - 1, our algorithm yields an approximation ratio of max((Δ-2)/α, 2), where α >; 1 is a constant whose...
Quantum Evolutionary Algorithm (QEA) is an optimization algorithm based on the concept of quantum computing and Particle Swarm Optimization (PSO) algorithm is a population based intelligent search technique. Both these techniques have good performance to solve optimization problems. PSEQEA combines the PSO with QEA to improve the performance of QEA and it can solve single objective optimization problem...
This paper introduces a novel adaptation scheme of mutation step size for the Artificial Bee Colony algorithm and compares its results with a number of swarm intelligence and population based optimization algorithms on complex multimodal benchmark problems. The Artificial Bee Colony (ABC) is a swarm based optimization algorithm mimicking the intelligent food foraging behavior of honey bees. The proposed...
Soft computing forecasting tools play an important role to forecast many complicated systems. In this paper, an effort has been made to use soft computing approaches to predict Dhaka daily temperatures for the period of 28 February 1945 to 27 August 2006. We have selected the fuzzy neuro model, the neuro genetic algorithm model as soft computing techniques. To compare results, a popular time series...
A neural representation of combinational logic circuit is proposed, called `Logical Neural Network' (LNN). LNN is a feed-forward neural network (NN) where the weights of the network indicate the connections of digital circuit. The logic operations of the circuit such as AND, OR, NOR etc are performed with the neurons of LNN. A modification of Simple Genetic Algorithm (mSGA) is applied to design and...
Flexible manipulator systems exhibit many advantages over their traditional (rigid) counterparts. However, they have not been favored in production industries due to its obvious disadvantages in controlling the manipulator. This paper presents theoretical investigation into the dynamic modeling and characterization of a constrained two-link flexible manipulator, by using finite element method. The...
This paper presents a multi-drug chemotherapy scheduling method for cancer treatment using multi-objective optimisation technique. Cancer cells, very often, grows resistance to a drug if it is administered alone for a long time and drug resistance eventually causes failure to treatment in most cases. The adaptation of multi-drug treatment in cancer increases the drug performance by reducing the drug...
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