846 research outputs found
Cooperation of Nature and Physiologically Inspired Mechanism in Visualisation
No full textA novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species of ants – Leptothorax acervorum. This hybrid algorithm is assisted by a biological mechanism inspired by the behaviour of blood flow and cells in blood vessels, where the concept of high and low blood pressure is utilised. The performance of the nature-inspired algorithms and the biologically inspired mechanisms in the hybrid algorithm is reflected through a cooperative attempt to make a drawing on the canvas. The scientific value of the marriage between the two swarm intelligence algorithms is currently being investigated thoroughly on many benchmarks and the results reported suggest a promising prospect (al-Rifaie, Bishop & Blackwell, 2011). We also discuss whether or not the ‘art works’ generated by nature and biologically inspired algorithms can possibly be considered as ‘computationally creative’
Creative or Not? Birds and Ants Draw with Muscle
No full textIn this work, a novel approach of merging two swarm intelligence algorithms is considered – one mimicking the behaviour of ants foraging (Stochastic Diffusion Search [5]) and the other algorithm simulating the behaviour of birds flocking (Particle Swarm Optimisation [17]). This hybrid algorithm is assisted by a mechanism inspired from the behaviour of skeletal muscles activated by motor neurons. The operation of the swarm intelligence algorithms is first introduced via metaphor before the new hybrid algorithm is defined. Next, the novel behaviour of the hybrid algorithm is reflected through a cooperative attempt to make a drawing, followed by a discussion about creativity in general and the ’computational creativity’ of the swarm
Creativity and Autonomy in Swarm Intelligence Systems
No full textThis work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{Leptothorax acervorum}) foraging (a `Stochastic Diffusion Search', SDS) and the other algorithm mimicking the behaviour of birds flocking (a `Particle Swarm Optimiser', PSO) -- and outlines a novel integration strategy exploiting the local search properties of the PSO with global SDS behaviour. The resulting hybrid algorithm is used to sketch novel drawings of an input image, exploliting an artistic tension between the local behaviour of the `birds flocking' - as they seek to follow the input sketch - and the global behaviour of the `ants foraging' - as they seek to encourage the flock to explore novel regions of the canvas. The paper concludes by exploring the putative `creativity' of this hybrid swarm system in the philosophical light of the `rhizome' and Deleuze's well known `Orchid and Wasp' metaphor
An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search
No full textThe integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC). This work narrates the early research on using Stochastic Diffusion Search (SDS) -- a swarm intelligence algorithm -- to empower the Differential Evolution (DE) -- an evolutionary algorithm -- over a set of optimisation problems. The results reported herein suggest that the powerful resource allocation mechanism deployed in SDS has the potential to improve the optimisation capability of the classical evolutionary algorithm used in this experiment. Different performance measures and statistical analyses were utilised to monitor the behaviour of the final coupled algorithm
Studying and Investigation the Manuscript Of «Al-Nubtha Mn E\u27lm Al-Balagah Wa Tawabiu\u27ha» Written by Shaikh Abdul-Rahim Al-Abanasi
No full textThere is no doubt that the inspection is a dynamic process that is resorted to by the expert of this way and took a path in which he sought to reveal the hidden signs and symbols that needed attention in checking its texts which concealed by time until they have the opportunity to appear and be exposed. This study that I presented contains two important assets upon which such studies are based, namely: the study and the inspection. It is a manuscript named «Al-Nubtha mn E\u27lm Al-Balagah wa Tawabiu\u27ha», written by Shaikh Zain Al-Din Abdul-Rahim Al-Abanasi Al-Shafiq\u27i (May God have mercy on him). This book traces the arts of rhetoric and their artistic and taste paths. The joy of inspection comes through the correct verification of the text as it was written. It also contributes to supplementing the library with the heritage of the ancestors, so that it can be accessible to those interested and be useful in its content. This research came in two parts: the first part is a study on the author and the book, and the second part devotes it to the verified text. As well as research results and a list of resources and references
Investigating stochastic diffusion search in DNA sequence assembly problem
No full textThis paper introduces a novel study on the performance of Stochastic Diffusion Search (SDS) - swarm intelligence algorithm - to address DNA sequence assembly problem. This is an NP-hard problem and one of the primary problems in computational molecular biology that requires optimisation methodologies to reconstruct the original DNA sequence. In this work, SDS algorithm is adapted for the first time for this purpose and several experiments are run in order to evaluate the performance of the presented technique over several frequently used benchmarks. Given the promising results of the newly proposed algorithm and its success in assembling the input fragments, its behaviour is further analysed, thus shedding light on the process through which the algorithm conducts the task. Additionally the performance of the algorithm is compared against several other techniques, demonstrating its weaknesses and strength in the experiments presented in the paper
Maximising overlap score in DNA sequence assembly problem by Stochastic Diffusion Search
No full textThis paper introduces a novel study on the performance of Stochastic DiffusionSearch (SDS) – a swarm intelligence algorithm – to address DNA sequence assembly problem. This is an NP-hard problem and one of the primary problems in computational molecular biology that requires optimisation methodologies to reconstruct the original DNA sequence. In this work, SDS algorithm is adapted for this purpose and several experiments are run in order to evaluate the performance of the presented technique over several frequently used benchmarks. Given the promising results of the newly proposed algorithm and its success in assembling the input fragments, its behaviour is further analysed, thus shedding light on the process through which the algorithm conducts the task. Additionally, the algorithm is applied to overlap score matrices which are generated from the raw input fragments; the algorithm optimises the overlap score matrices to find better results. In these experiments realworld data are used and the performance of SDS is compared with several other algorithms which are used by other researchers in the field, thus demonstrating its weaknesses and strengths in the experiments presented in the paper
Generative music with stochastic diffusion search
No full textThis paper introduces an approach for using a swarm intelligence algorithm, Stochastic Diffusion Search (SDS) – inspired by one
species of ants, Leptothorax acervorum – in order to generate music from plain text. In this approach , SDS is adapted in such a way to vocalise the agents, to hear their “chit-chat” . While the generated music depends on the input text, the algorithm’s search capability in locating the words in the input text is reflected in the duration and dynamic of the resulting musical notes. In other words, the generated music depends on the behaviour of the algorithm and the communication between its agents. This novel approach, while staying loyal to the original input text, when run each time, ‘vocalises’ the input text in varying ‘flavours’
A Comparative Study of Exegetical Narrations Related to the Verse of Holy Prophet's Sin Based on the Exegetic Principles and Rules
No full textAccording to exegesis, the necessary condition for the validity and accuracy of every exegetic opinion- including exegetic narrations- is their conformity with accepted exegetic principles and rules. Therefore, the comparative analysis of transmitted exegeses on the basis of the principles and rules of exegesis is an important method to examine and evaluate how much these opinions are valid and accurate. Different narrations and exegetic opinions have been proposed for the second verse of the Chapter Victory (Surah 48) in order to explain the meaning of the term "sin", its attribution to the Holy Prophet (peace be upon him and his progeny), and asking "forgiveness" for it. The present paper analyzes each of these exegetic opinions and their semantic significations and implications from different dimensions discussed in the principles of exegesis, including their conformity with lexical root in singulars and compounds, literary rules, contextual implication, verses and narrations with similar theme, necessities and admissa, and intellectual propositions, and tries to assess and evaluate the validity and accuracy of each opinion in relation to rational exegetic principles. It seems that the exegetic opinion transmitted from Imam Reza (peace be upon him) has more conformity and agreement with the principles of exegesis than other mentioned opinions.
Mohammad Kazem Rahman Setayesh[1]
Mohammad Majid Sheikh Baha'i[2]
[1] Assistant professor of department of sciences of the Holy Quran and Hadith, University of Qom, [email protected]
[2] Corresponding author, PhD student of sciences of the Holy Quran and Hadith, Usul al-Deen (Principles of Religion) University of Qom, [email protected]
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