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008			190617s2019 si a ob 001 0 eng d
010			_z 90047438
040			_aWSPC _beng _cWSPC
020			_a9789814368155 _q(ebook)
020			_z9789810202170 _q(hbk.)
050	0	4	_aTJ211.35 _b.D38 1991
082	0	4	_a629.8/92 _223
100	1		_aDavidor, Yuval. _93387
245	1	0	_aGenetics algorithms and robotics _h[electronic resource] : _ba heuristic stragegy for optimization / _cYuval Davidor.
260			_aSingapore : _bWorld Scientific Publishing Co. Pte Ltd., _c©1991.
300			_a1 online resource (186 p.) : _bill.
490	0		_aWorld Scientific series in robotics and intelligent systems ; _vv. 1
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
588			_aTitle from web page (viewed June 19, 2019).
504			_aIncludes bibliographical references (p. 153-160) and index.
520			_a"Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering. By introducing the 'genetic' approach to robot trajectory generation, much can be learned about the adaptive mechanisms of evolution and how these mechanisms can solve real world problems. It is suggested further that optimization at large may benefit greatly from the adaptive optimization exhibited by natural systems when attempting to solve complex optimization problems, and that the determinism of classical optimization models may sometimes be an obstacle in nonlinear systems. This book is unique in that it reports in detail on an application of genetic algorithms to a real world problem, and explains the considerations taken during the development work. Futhermore, it addresses robotics in two new aspects: the optimization of the trajectory specification which has so far been done by human operators and has not received much attention for both automation and optimization, and the introduction of a heuristic strategy to a field predominated by deterministic strategies."-- _cPublisher's website.
650		0	_aRobots _xControl systems. _93388
650		0	_aCombinatorial optimization. _93389
650		0	_aAlgorithms. _93390
655		0	_aElectronic books. _93294
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/1111#t=toc _zAccess to full text is restricted to subscribers.
942			_cEBK
999			_c72426 _d72426