In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...

In this paper, echo cancellation is done using genetic algorithm (GA). The genetic algorithm is implemented by two kinds of crossovers; heuristic and microbial. A new procedure is proposed to estimate the coefficients of adaptive filters used in echo cancellation with combination of the GA with Least-Mean-Square (LMS) method. The results are compared for various values of LMS step size and diff...

With the growing environmental depletion, shift in focus towards minimizing emissions of gases released conventional generators and further incorporation a cleaner alternate renewable source energy such as wind or solar to existing system is utmost importance. The research paper aims build an environmentally resilient electric power system. Real coded genetic algorithm- powerful optimization te...

In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants and memory schemes are two major ones. The random immigrants scheme addresses dynamic environments by maintaining the population diversity while the memory scheme aims to adapt genetic algorithms quickly to new enviro...

Almost all real-world problems are dynamic and as such not all problem instances are known a priori. Many strategies to deal with dynamic problems exist in the literature, however they are not fully tested on combinatorial problems due to the deficiency of benchmarks. This paper presents a benchmark generator that uses Genetic Algorithms to produce benchmark problems for the dynamic traveling s...