Genetic Algorithm (GA) is one of most popular swarm based evolutionary search algorithm that simulates natural phenomenon of genetic evolution for searching solution to arbitrary engineering problems. Although GAs are very effective in solving many practical problems, their execution time can become a limiting factor for evolving solution to most of real life problems as it involve large number...

In this paper, we propose a new method to use cost-effective multi-sheet off-the-shelf piezoelectric material (e.g. PZT) as an actuator for micropumps. Instead of one customized single PZT sheet that is typically expensive, multiple commercially available sheets are utilized decrease the cost fabrication. For purpose, have derived analytic equations expressing natural frequency and mode shape a...

Sequence alignment is a method to establish similarity between sequences. Sometimes it is necessary to compare many sequences simultaneously to establish evolutionary relationship between them. The process of aligning multiple sequences simultaneously to achieve maximum similarity is called Multiple Sequence Alignment problem. Multiple Protein Sequence Alignment is an NP Hard problem. So there ...

In this paper, we have proposed a low cost optimized solution for the movement of a three-arm manipulator using Genetic Algorithm (GA) and Analytical Hierarchy Process (AHP). A scheme is given for optimizing the movement of robotic arm with the help of Genetic Algorithm so that the minimum energy consumption criteria can be achieved. As compared to Direct Kinematics, Inverse Kinematics evolved ...

Reactive power dispatch for voltage profile modification has been of interest Abstract to powerr utilities. Usually local bus voltages can be altered by changing generator voltages, reactive shunts, ULTC transformers and SVCs. Determination of optimum values for control parameters, however, is not simple for modern power system networks. Heuristic and rather intelligent algorithms have to be so...

In this paper, we have proposed a low cost optimized solution for the movement of a three-arm manipulator using Genetic Algorithm (GA) and Analytical Hierarchy Process (AHP). A scheme is given for optimizing the movement of robotic arm with the help of Genetic Algorithm so that the minimum energy consumption criteria can be achieved. As compared to Direct Kinematics, Inverse Kinematics evolved ...

A genetic algorithm (GA) approach is presented to select a set of features to discriminate the targets from the natural clutter false alarms in SAR images. Four stages of an automatic target detection system are developed: the rough target detection, feature extraction from the potential target regions, GA based feature selection and the final Bayesian classification. A new fitness function bas...

RNA folding pathways are proving to be quite important in the determination of RNA function. Studies indicate that RNA may enter intermediate and multiple conformational states that are key to its functionality. These states may have a significant impact on gene expression and molecular function. It is known that the biologically functional states of RNA molecules may not correspond to their mi...

Glowworm Swarm Optimization algorithm is applied for the simultaneous capture of multiple optima of multimodal functions. The algorithm uses an ensemble of agents, which scan the search space and exchange information concerning a fitness of their current position. The fitness is represented by a level of a luminescent quantity called luciferin. An agent moves in direction of randomly chosen nei...

Though many techniques were proposed for the optimization of Permutation Flow-Shop Scheduling Problem (PFSSP), current only provide a single optimal schedule. Therefore, new algorithm is proposed, by combining k-means clustering and Genetic Algorithm (GA), multimodal PFSSP. In algorithm, first utilized to cluster individuals every generation into different clusters, based on some machine-sequen...