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Article history: Received 2 July 2013 Received in revised form 7 January 2014 Accepted 18 January 2014

Firefly algorithm is a swarm based metaheuristic algorithm inspired by the flashing behavior of fireflies. It is an effective and an easy to implement algorithm. It has been tested on different problems from different disciplines and found to be effective. Even though the algorithm is proposed for optimization problems with continuous variables, it has been modified and used for problems with n...

In this work, firefly algorithm (FA) is used in training feed-forward neural networks (FNN) for classification purpose. In experiments, three well-known classification problems have been used to evaluate the performance of the proposed FA. The experimental results obtained by FA were compared with the results reported by artificial bee colony (ABC) algorithm and genetic algorithm (GA). Also, si...

Static VAR Compensator (SVC) is one of the shunt type FACTS devices for providing reactive power support in power systems network and its placement representing the location and size has significant influence on enhancement of voltage profile. This paper presents a firefly algorithm based optimization strategy for placement of SVC in power systems with a view of minimizing voltage deviation at ...

Software testing is an important but complex part of software development life cycle. The optimization of the software testing process is a major challenge, and the generation of the independent test paths remains unsatisfactory. In this paper, we present an approach based on metaheuristic firefly algorithm to generate optimal test paths. In order to optimize the test case paths, we use a modif...

This paper proposes a meta-heuristic Multi-Population Firefly Algorithm (MPFA) for single-modal optimization using two multi-population models, i.e., one is based on the island model while the other on the mainland-island model. The unique characteristics of each sub-population is evolved independently and the diversity of the entire population is effectively increased. Sub-populations communic...

Autonomous Nano-Technology Swarm (ANTS) from NASA employs numerous, autonomous, l-kg solar sails for surveying and studying asteroids in the Asteroid Belt. There is no convincing work on a simulator that validates the solar sail’s behaviors and weak propellant system in the extreme space environment. Thus, we have developed and verified an Environment Agent (EA) that simulates gravity and light...