effectiveness and accuracy of the proposed QOTLBO algorithm over other methods like conventional BBO and hybrid biogeography …

-constrained optimal power flow (OPF) problems in the power system. In this paper, the proposed algorithms have been tested in 9-bus system … efficacy of the proposed scheme over evolutionary programming (EP), genetic algorithm (GA), mixed-integer particle swarm …

Firefly algorithm is used as an optimization algorithm to solve the community detection problem by maximizing the modularity … measure. Firefly algorithm is a new Nature-inspired heuristic algorithm that proved its good performance in a variety of … applications. Experimental results obtained from tests on real-life networks demonstrate that the authors' algorithm successfully …

represented by formal concepts in concept algebra and semantic algebra. This paper presents theories and algorithms of … formal concepts is rigorously measured by an Algorithm of Concept Equivalence Analysis (ACEA). The semantic hierarchy among … formal concepts is quantitatively determined by an Algorithm of Relational Semantic Classification (ARSC). Experiments …

regression and behavior acquisition. A new category of CKL is presented in this paper embodied by the Algorithm of Cognitive … robots is implemented based on the ACCE algorithm. Experiments on machine learning for knowledge acquisition reveal that a …–generated knowledge base demonstrates that the ACCE algorithm can outperform human knowledge expressions in terms of relevance, accuracy …

complex problem. This distributed query plan generation (DQPG) problem has been addressed using the Cuckoo Search Algorithm … (CSA) in this paper. Accordingly, a CSA based DQPG algorithm (DQPGCSA) that aims to generate Top-K query plans having … GA based DQPG algorithm shows that the former is able to generate Top-K query plans that have a comparatively lower query …

that the current algorithm used to determine the next Bluetooth frequency hop is vulnerable to attack, and will suggest a … novel algorithm to more securely select the next frequency to use. They will simulate their solution algorithmically to …

are grouped according to their similarities based on some criteria. Among the numerous algorithms, k-Means is the best and … correctly which is a NP-hard problem. Recently a new optimization algorithm TOA was developed to address these problems. However …

mutually connected people and computers that are constantly evaluating and approving millions of transactions. Algorithms play … a crucial role within this global financial network. An algorithm is in essence merely a set of instructions developed … have ever higher expectations of algorithms and these algorithms become ever more autonomous in their actions, we cannot …

In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully … method is as it reaches toward the optimal solution without the optimal tuning of input parameters of the ODSA algorithm. In … the feasibility of the proposed algorithm. …