The \u2018bare bones' (BB) formulation of particle swarm optimisation (PSO) was originally advanced as a model of PSO dynamics. The idea was to model the forces between particles with sampling from a probability distribution in the hope of understanding swarm behaviour with a conceptually simpler particle update rule. \u2018Bare bones with jumps' (BBJ) proposes three significant extensions to the BB algorithm: (i) two social neighbourhoods, (ii) a tuneable parameter that can advantageously bring the swarm to the \u2018edge of collapse' and (iii) a component-by-component probabilistic jump to anywhere in the search space. The purpose of this paper is to investigate the role of jumping within a specific BBJ algorithm, cognitive BBJ (cBBJ). After confirming the effectiveness of cBBJ, this paper finds that: jumping in one component only is optimal over the 30 dimensional benchmarks of this study; that a small per particle jump probability of 1\/30 works well for these benchmarks; jumps are chiefly beneficial during the early stages of optimisation and finally this work supplies evidence that jumping provides escape from regions surrounding sub-optimal minima.<\/p>","DOI":"10.4018\/ijsir.2016010101","type":"journal-article","created":{"date-parts":[[2016,1,18]],"date-time":"2016-01-18T18:11:32Z","timestamp":1453140692000},"page":"1-31","source":"Crossref","is-referenced-by-count":5,"title":["Cognitive Bare Bones Particle Swarm Optimisation with Jumps"],"prefix":"10.4018","volume":"7","author":[{"given":"Mohammad Majid","family":"al-Rifaie","sequence":"first","affiliation":[{"name":"Department of Computing, Goldsmiths, University of London, London, UK"}]},{"given":"Tim","family":"Blackwell","sequence":"additional","affiliation":[{"name":"Department of Computing Goldsmiths, University of London, London, UK"}]}],"member":"2432","container-title":["International Journal of Swarm Intelligence Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=144240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:49:09Z","timestamp":1654109349000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSIR.2016010101"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2016,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijsir.2016010101","relation":{},"ISSN":["1947-9263","1947-9271"],"issn-type":[{"value":"1947-9263","type":"print"},{"value":"1947-9271","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,1]]}}}