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001			1865-9292
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022			_a1865-9292
024	7		_a10.1007/12293.1865-9292 _2doi
210	1	0	_aMemetic Comp.
245	1	0	_aMemetic Computing _h[electronic resource] / _cedited by Meng-Hiot Lim, Yew-Soon Ong, Steven Gustafson.
264		1	_aBerlin/Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer.
300			_bonline resource.
520			_aMemetic Computing features articles on high quality research in hybrid metaheuristics (including evolutionary hybrids) for optimization, control and design in continuous and discrete optimization domains. It goes beyond current search methodologies towards innovative research on the emergence of cultural artifacts such as game, trade and negotiation strategies and, more generally, rules of behavior as they apply to, for example, robotic, multi-agent and artificial life systems. Memetic Computing is an avenue for the latest results in natural computation, artificial intelligence, machine learning, operational research and natural sciences, which are combined in novel ways so as to transcend the intrinsic limitations of a single discipline. Potential authors are invited to submit original research articles for publication consideration at any time. Reviews and short research communications are also welcomed. Further information on submission, format, lengths and style files is available through the journal website. All manuscripts should be submitted electronically using the Online Submission system. We aim to achieve a typical turnaround time of not more than 3 months for the review process. Some (but not all) of the topics covered by Memetic Computing are: Algorithmic Intelligence in Optimisation, Control and Design Hybrid (Parallel) Metaheuristics such as Tabu Search, Path relinking, Scatter Search, GRASP methods, Iterated Local Search, Simulated annealing, Variable Neighborhood Search, Evolutionary Algorithms, Learning Classifier Systems, Memetic Algorithms, Cultural Algorithms, etc. Approximate and exact algorithms for Combinatorial and Continuous Optimisation Integer and Linear Programming Ant Colony Computing Self-organisation, Self-Assembly, Self-Generation, Self-Healing of artificial systems Swarm Intelligence Neural networks Evolutionary Dynamics Memetic Theory Artificial Cultures in multi-agent systems, webbots and robots. Landscape Analysis Methodological aspects of experimental computing. Search based Software Engineering Genetic Programming Constraint Optimisation Representation and encoding studies Real-world applications Machine learning and Data Mining Multiobjective optimisation Artificial immune systems.
650		0	_aBioinformatics.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aMechatronics.
650	1	4	_aMathematical and Computational Engineering. _0http://scigraph.springernature.com/things/product-market-codes/T11006
650	2	4	_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000
650	2	4	_aComplex Systems. _0http://scigraph.springernature.com/things/product-market-codes/P33000
650	2	4	_aControl, Robotics, Mechatronics. _0http://scigraph.springernature.com/things/product-market-codes/T19000
650	2	4	_aBioinformatics. _0http://scigraph.springernature.com/things/product-market-codes/L15001
650	2	4	_aApplications of Mathematics. _0http://scigraph.springernature.com/things/product-market-codes/M13003
700	1		_aLim, Meng-Hiot. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aOng, Yew-Soon. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGustafson, Steven. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x1865-9284
856	4	0	_uhttps://doi.org/10.1007/12293.1865-9292 _zHybrid
999			_c456030 _d456030
942			_cEMG