It is well-known that, given inorder traversal along with one of the preorder or postorder traversals of a binary tree, the tree can be determined uniquely. Several algorithms have been proposed to reconstruct a binary tree from its inorder and preorder traversals. There is one study to reconstruct a binary tree from its inorder and postorder traversals, and this algorithm takes running time of...

<strong>Continuing the previous article that use merit order, simplest method in economic dispatch, this pursue to optimize output of three power plants using more advanced algorithm, firefly. The used are similar paper which generators supply a load 975 MW. Simulation is by taking into account losses. results show spite having higher losses, firefly algorithm managed calculate better res...

we propose a novel hybrid algorithm named ACO-FA, which integrates the merits of ant colony optimization (ACO) with firefly algorithm (FA) to solve unconstrained optimization problems. The main feature of the hybrid algorithm is to hybridize the solution construction mechanism of the ACO with the FA. In our hybrid algorithm, the initial solutions are generated randomly from the search space, an...

This paper presents a novel method based on an enhanced firefly algorithm (EFA) to solve scheduling hybrid thermal, pumped-storage, and wind plants. Since the problem is inherently discrete, basic EFA binary encoding/decoding techniques are used in proposed approach. Optimal power values of thermal pumped-storage units determined separately presence uncertainty caused by speed. The applied real...

An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve the problems of low computational efficiency and accuracy in solving complex optimization problems. First, method square-root sequence was used generate initial population, so that population had better diversity. Second, an adaptive probabilistic attract fireflies according brightness level fir...

A New Improved Firefly Algorithm for Global Numerical Optimization Gai-Ge Wang1 ∗, Lihong Guo2, Hong Duan3, and Heqi Wang2 1School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China 2Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China 3School of Computer Science and Information Technology, Nor...