Petal appearance is an important horticultural trail that is generally used to evaluate the ornamental value of plants. However, knowledge of the molecular regulation of petal growth is mostly derived from analyses of Arabidopsis thaliana, and relatively little is known about this process in ornamental plants. Previously, GEG (Gerbera hybrida homolog of the gibberellin [GA]-stimulated transcrip...

No-wait job-shop scheduling (NWJSS) problem is one of the classical scheduling problems that exist on many kinds of industry with no-wait constraint, such as metal working, plastic, chemical, and food industries. Several methods have been proposed to solve this problem, both exact (i.e. integer programming) and metaheuristic methods. Cross entropy (CE), as a new metaheuristic, can be an alterna...

evolutionary algorithms are some of the most crucial random approaches tosolve the problems, but sometimes generate low quality solutions. on the otherhand, learning automata are adaptive decision-making devices, operating onunknown random environments, so it seems that if evolutionary and learningautomaton based algorithms are operated simultaneously, the quality of results willincrease sharpl...

Gibberellic acid (GA) can regulate many plant developmental processes. GAST1 has been identified as a GA-stimulated transcript, and Arabidopsis GAST-like genes are known to constitute the GASA family. However, the functions of most GASA genes are not clear at present. In this study, the function of GASA14, a member of the GASA family, was investigated. GASA14 expression was upregulated by GA an...

In this study, a modified Fuzzy C-Means algorithm with Gaussian weights (MFCM_GW) is presented for the problem of nonlinear blind channel equalization. The proposed algorithm searches for the optimal channel output states of a nonlinear channel based on received symbols. In contrast to conventional Euclidean distance in Fuzzy C-Means (FCM), the use of the Bayesian likelihood fitness function an...

In order to solve the permutation flow shop scheduling problem, a multipopulation and self-adaptive genetic algorithm based on simulated annealing is proposed in this paper. For the precocity problem of traditional genetic algorithm, the multi-population coevolution strategy is adopted. We introduce a squared term to improve traditional self-adaptive genetic operators, which can increase the se...

Location-routing problem (LRP) thoroughly considers location allocation (LAP) and vehicle routing (VRP) which has been an integral part applied in modern logistics. A number of researchers at home aboard have put forward their views by establishing fine models. On the basis studying previous research results classification, summary, comparative analysis, this study hence proposes a new solution...

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase of the ICA algorithm. In addition...

This paper proposes a multi-objective memetic algorithm based on NSGA-II and Simulated Annealing (SA), NSGA-II-SA, for calibration of microscopic vehicular traffic flow simulation models. The NSGA-II algorithm performs a scan in the search space and obtains the Pareto front which is optimized locally with SA. The best solution of the obtained front is selected. Two CORSIM models were calibrated...