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Mathematics 2019, 7(3), 250; https://doi.org/10.3390/math7030250

SRIFA: Stochastic Ranking with Improved-Firefly-Algorithm for Constrained Optimization Engineering Design Problems

Department of CSE, Visvesvaraya National Institute of Technology, Nagpur 440010, India
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Received: 2 February 2019 / Revised: 1 March 2019 / Accepted: 5 March 2019 / Published: 11 March 2019
(This article belongs to the Special Issue Evolutionary Computation)
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Abstract

Firefly-Algorithm (FA) is an eminent nature-inspired swarm-based technique for solving numerous real world global optimization problems. This paper presents an overview of the constraint handling techniques. It also includes a hybrid algorithm, namely the Stochastic Ranking with Improved Firefly Algorithm (SRIFA) for solving constrained real-world engineering optimization problems. The stochastic ranking approach is broadly used to maintain balance between penalty and fitness functions. FA is extensively used due to its faster convergence than other metaheuristic algorithms. The basic FA is modified by incorporating opposite-based learning and random-scale factor to improve the diversity and performance. Furthermore, SRIFA uses feasibility based rules to maintain balance between penalty and objective functions. SRIFA is experimented to optimize 24 CEC 2006 standard functions and five well-known engineering constrained-optimization design problems from the literature to evaluate and analyze the effectiveness of SRIFA. It can be seen that the overall computational results of SRIFA are better than those of the basic FA. Statistical outcomes of the SRIFA are significantly superior compared to the other evolutionary algorithms and engineering design problems in its performance, quality and efficiency. View Full-Text
Keywords: constrained optimization problems (COPs); evolutionary algorithms (EAs); firefly algorithm (FA); stochastic ranking (SR) constrained optimization problems (COPs); evolutionary algorithms (EAs); firefly algorithm (FA); stochastic ranking (SR)
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Balande, U.; Shrimankar, D. SRIFA: Stochastic Ranking with Improved-Firefly-Algorithm for Constrained Optimization Engineering Design Problems. Mathematics 2019, 7, 250.

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