An important component of bioinformatics research is aimed at finding evolutionary relationships among species, since it allows us to better understand various important biological functions as they emerged in these species. These tools simultaneously trace the associated evolutionary history. In this context, sequence alignment is commonly used to understand similarities among the species by c...

according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.02.190 ⇑ Corresponding author. E-mail addresses: [email protected] nctu.edu.tw). Evolutionary computation has become a popular research field due to its global searching ability. Therefore, it raises a challenge to develop an efficient and robustness evolutionary algorithm to not only reduce the ev...

Swarm intelligence algorithms have been succesfully applied to hard optimization problems. Seeker optimization algorithm is one of the latest members of that class of metaheuristics and it has not yet been thorougly researched. Since the early versions of this algorithm were less succesful with multimodal functions, we propose in this paper hybridization of the seeker optimization algorithm wit...

We investigate fitness neutrality in a Simple Evolutionary Algorithm (SEA) and in a neutrality-enabled evolutionary system using the OneMax problem. The results show that with the support of limited neutrality, SEA is less effective than our system where a larger amount of neutrality is supported. In order to understand the role of neutrality in evolutionary search of this unimodal landscape, w...

Abstract A newly hybrid algorithm is proposed based on the combination of seeker optimization and particle swarm optimization. The a double population evolution strategy, populations individuals are evolved from separately. employ an information sharing mechanism to implement coevolution. enhances individuals’ diversity averts fall into local optimum. compared with optimization, simulated annea...

this paper focuses on multi-objective designing of multi-machine thyristor controlled series compensator (tcsc) using strength pareto evolutionary algorithm (spea). the tcsc parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a spea ...

floorplanning is an important step in physical design of vlsi circuits. it is used to plan the positions of a set of circuit modules on a chip in order to optimize the circuit performance. however, modern floorplanning takes better care of providing extra options to place dedicated modules in the hierarchical designs to align circuit blocks one by one within certain bounding box for helping seq...

Multilevel thresholding is one of the most popular image segmentation techniques. This paper presents a new multilevel maximum entropy thresholding method based on modified seeker optimization (MSO) algorithm. In the proposed method the thresholding problem is treated as an optimization problem and solved by using the MSO metaheuristics. Particle swarm optimization (PSO) algorithm is also imple...