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International Journal of Innovative Computing and Applications is a peer-reviewed journal published by Inderscience, covering Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, Advanced Multi-Objective Optimization Algorithms.
| 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 Innovative Computing and Applications, 12(3), pp. 45–58.
Formats any DOI in International Journal of Innovative Computing and Applications style. No sign-up. |
| Publishes research in | Metaheuristic Optimization Algorithms Research Evolutionary Algorithms and Applications Advanced Multi-Objective Optimization Algorithms Advanced Algorithms and Applications Vehicle Routing Optimization Methods |
| ISSN | 1751-648X |
| Citation impact (2-yr) | 0.23 |
| h-index | 20 |
| i10-index | 46 |
| Total citations | 1,948 |
| Top institutions publishing here | Chinese People's Armed Police Force Engineering University |
| 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.
Particle Swarm Optimisation (PSO) algorithm is a stochastic search technique, which has exhibited good performance across a wide range of applications. However, very often for multimodal problems involving high dimensions, the algorithm tends to suffer from premature convergence. Analysis of the behaviour of the particle swarm model reveals that such premature convergence is mainly due…
This paper introduces an ancestry tree-based approach for exploration and exploitation analysis. The approach introduces a data structure to record the evolution history of a population and a number of exploration and exploitation metrics. Such an approach not only provides insight of how and when the exploration and exploitation influence an evolution process, but also…
In this paper we discuss on the MALLBA framework, a software tool for the resolution of combinatorial optimisation problems using generic algorithmic skeletons implemented in C++. Every skeleton in the MALLBA library implements an optimisation method (exacts, metaheuristics and hybrids) and provides three different implementations for it: sequential, parallel for Local Area Networks and parallel…
In this paper, a new circuit architecture for image filter evolution is proposed. The evolvable system is based on the implementation of a search algorithm in the PowerPC processor which is available in Xilinx Virtex II Pro Field Programmable Gate Arrays (FPGAs). Candidate filters are evaluated in a domain-specific virtual reconfigurable circuit implemented using a…
We present an investigation into constant creation in Grammatical Evolution (GE), a form of grammar-based Genetic Programming (GP). The methods for constant creation evaluated include digit Concatenation (Cat) and a grammatical version of ephemeral random constants called persistent random constants. Experiments conducted on a diverse range of benchmark problems uncover clear advantages for a digit…
