bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. many computational algorithms have been applied for solving the sequence alignment problem. dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods applied t...

Optimization of machining processes is of primary importance for increasing machining efficiency and economics. Determining optimal values of machining parameters is performed by applying optimization algorithms to mathematical models of relationships between machining parameters and machining performance measures. In recent years, there has been an increasing trend of using empirical models an...

In this paper, Optimization is considered as the main impact of insight problem and heuristic methods. A proposed method is represented by using two optimization algorithms; cuckoo optimization; is heuristic method and Genetic algorithm; is meta-heuristic method in order to increase the optimization level and speed of calculation as possible. The proposed methodology and technique still a subje...

Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adaptive multisection rules which enable the algorithm to choose the proper multisection type depending on simple heuristic decision rules. Moreover, for the selection of the next box to be subdivided, we investigate new criteria. ...

Logic resynthesis is one of the core problems in modern peephole logic optimization algorithms. Given a target function and set existing functions, asks for circuit reusing some functions generating target. While exact methods such as enumeration SATbased synthesis guarantee optimal solutions, limitations on problem size are inevitable due to scalability concerns. In this work, we propose heuri...

Yazılım güvenlik açığının tahmini, güvenli yazılım geliştirmek için önemli bir husustur. Ancak, bilgi sistemine saldırı yapıldığında büyük kayıplara neden olabilir. Tehlikeli kodun tespiti çaba gerektirir ve bu da bilinmeyen ciddi sonuçlara yol açabilir. Etkili sağlamak açıklarının oluşmasını önlemek veya açıklarını azaltmak meta-sezgisel tabanlı yaklaşımlar geliştirmeye güçlü ihtiyaç vardır. a...

In this paper is proposed a new heuristic approach belonging to the field of evolutionary Estimation of Distribution Algorithms (EDAs). EDAs builds a probability model and a set of solutions is sampled from the model which characterizes the distribution of such solutions. The main framework of the proposed method is an estimation of distribution algorithm, in which an adaptive Gibbs sampling is...

Loop layout is a common in the Flexible Manufacturing Systems (FMS), machines arranged around loop and materials are transported unidirectional only. The intention of problem (LLP) determination regulating loop, to minimize maximum congestion among family parts. Artificial immune system (AIS) algorithm, Tabu Search (TS) Improved (ITS) algorithms employed solve these problems. algorithm tested v...