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International Journal of Bio-Inspired Computation is a peer-reviewed journal published by Inderscience, covering Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Bio-Inspired Computation, 12(3), pp. 45–58.
Formats any DOI in International Journal of Bio-Inspired Computation style. No sign-up. |
| Publishes research in | Metaheuristic Optimization Algorithms Research Advanced Multi-Objective Optimization Algorithms Evolutionary Algorithms and Applications Advanced Algorithms and Applications Robotic Path Planning Algorithms |
| ISSN | 1758-0366 |
| Citation impact (2-yr) | 0.76 |
| h-index | 47 |
| i10-index | 305 |
| Total citations | 16,715 |
| Top institutions publishing here | Taiyuan University of Science and Technology |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimisation problems. In this paper, we show how to use the recently developed firefly algorithm to solve non-linear design problems. For the standard pressure vessel design optimisation, the optimal solution found by FA is far better than the best solution obtained…
Bat algorithm (BA) is a bio-inspired algorithm developed by Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last 3 years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and…
Engineering optimisation is typically multi-objective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimisation algorithms. Recently, Xin-She Yang proposed a bat-inspired algorithm for solving non-linear, global optimisation problems. In this paper, we extend this algorithm to solve multi-objective optimisation problems. The proposed multi-objective bat algorithm (MOBA) is first validated…
A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water drops with the riverbeds. The intelligent water drops (IWD) algorithm is a new…
The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Evolutionary computation and swarm intelligence meta-heuristics are outstanding examples that nature has been an unending source of inspiration. The behaviour of bees, bacteria, glow-worms, fireflies, slime moulds, cockroaches, mosquitoes and other organisms have inspired swarm intelligence researchers to devise…
