This work presents a study of a new binary coded firefly algorithm. The firefly algorithm is a novel nature-inspired metaheuristic, inspired by the social behavior of fireflies, which is being applied to solve many optimization problems. We test the proposed binary coded firefly algorithm solving the non-unicost set covering problem which is a well-known NP-hard discrete optimization problem wi...

Feed-forward neural networks are popular classification tools which are broadly used for early detection and diagnosis of breast cancer. In recent years, a great attention has been paid to bio-inspired optimization techniques due to its robustness, simplicity and efficiency in solving complex optimization problems. In this paper, it is intended to introduce a Genetic Algorithm based Firefly Alg...

Firefly algorithm is one of the evolutionary optimization algorithms, and is inspired by fireflies behavior in nature. Each firefly movement is based on absorption of the other one. In this paper to stabilize firefly’s movement, it is proposed a new behavior to direct fireflies movement to global best if there was no any better solution around them. In addition to increase convergence speed it ...

Data acquisition is the foundation of soft sensor and data fusion. Distributed data acquisition and its synchronization are the important technologies to ensure the accuracy of soft sensors. As a research topic in bionic science, the firefly-inspired algorithm has attracted widespread attention as a new synchronization method. Aiming at reducing the design difficulty of firefly-inspired synchro...

Anaerobic Digestion (AD) of wastewater for hydrogen production is a promising technology resulting in the generation value-added products and reduction organic load wastewater. The Two-Stage (TSAD) has several advantages over conventional single-stage process due to ability control acidification phase first bioreactor, preventing overloading and/or inhibition methanogenic population second bior...

ABSTRACT: Over the last few decades, rapidly growing cities in terms of population and land use have led to many transportation-based problems such as longer travel times, traffic congestion, crashes, air noise pollution. Increasing modal share transit systems appears be one most effective methods solve problems. However, systems, particularly countries having limited resources, should used eff...

The automatic load frequency control for multi-area power systems has been a challenging task system engineers. complexity of this further increases with the incorporation multiple sources generation. For multi-source system, paper presents new heuristic-based hybrid optimization technique to achieve objective control. In particular, proposed regulates deviation and tie-line in system. uses mai...

A major difficulty in using a web-based information retrieval system is the choice of terms to be used for expressing and processing query. The user has examine lot data find necessary documents or information. problem that often appears this situation query incorrect does not express those needs. Researchers have come up with various solutions overcome among them use reformulation. This paper ...

In recent years, Vehicular ad hoc networks (VANETs) could facilitate the decision-making progress of drivers for example trip planning with consideration traffic. VANET, Sybil attack is a very serious that collapses security. literature, some methods are reviewed to detect attacks in VANETs, but it fails achieve detection. Hence, this paper, Emperor Penguin Optimization-based Routing protocol (...