Firefly algorithm (FA) is recently developed nature-inspired metaheuristic based on the flashing patterns and behaviour of fireflies. Original FA was successfully applied to solve unconstrained optimization problems. This paper presents firefly algorithm to solve constrained optimization problems. For constraint handling, firefly algorithm uses certain feasibility-based rules in order to guide ...

in this paper, simultaneous placement of distributed generation, capacitor bank and protective devices are utilized to improve the efficiency of the distribution network. the objectives of the problem are reduction of active and reactive power losses, improvement of voltage profile and reliability indices and increasing distribution companies’ profit. the combination of firefly algorithm, parti...

Meta-heuristic algorithms prove to be competent in outperforming deterministic algorithms for real-world optimization problems. Firefly algorithm is one such recently developed algorithm inspired by the flashing behavior of fireflies. In this work, a detailed formulation and explanation of the Firefly algorithm implementation is given. Later Firefly algorithm is verified using six unimodal engi...

Linear antenna array design is one of the most important electromagnetic optimization problems of current interest . In the antenna arrays the side lobe level is main problem which causes wastage of energy. This paper describes the application of a recently developed metaheuristic algorithm ,known as the Particle Swarm Optimization Gravitational Search Algorithm(PSOGSA) to optimize the spacing ...

A novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms (EAs) are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using NEC (Numerical Electromagnetics Code). The target is to achieve an optimal antenna design with respect to maximum gain, gain flatness, Front to Rear ratio (F/R) and SW...

Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications. We will compare the proposed firefly algorithm with other metaheuristic algorithms such as particle swarm optimization (PSO). Simulations and results indicate that the proposed firefly a...

In this paper a new Modified Invasive Weed Optimization is proposed to find a parameters of fuzzy PID controller as a stabilizer in multi-machine power system. Actually, IWO is a bio-inspired numerical algorithm which is inspired from weed colonization and motivated by a common phenomenon in agriculture that is colonization of invasive weeds. Also, finding the parameters of PID controller in po...

In this paper, an invasive weed optimization (IWO) scheduling algorithm is presented for optimization no-idle flow-shop scheduling problem (NFSP) with the criterion to minimize the maximum completion time (makespan). Firstly, a simple approach is put forward to calculate the makespan of job sequence. Secondly, the most position value (MPV) method is used to code the weed individuals so that fit...