Li, Juan  (Mathematician) <br/><br/>
Decomposition-based evolutionary optimization in complex environments  [electronic resource] / 
by Juan Li, Bin Xin, Jie Chen. 
 - Singapore ;  Hoboken :  World Scientific,  [2020] 
 - 1 online resource (xvii, 229 p.) 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> "Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of 'making things simple' and 'divide and conquer' to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization"--Publisher's website. 
<br/><br/><br/>Mode of access: World Wide Web. <br/>System requirements: Adobe Acrobat Reader. 
<br/><br/><label>ISBN: </label>9789811218996 9811218994 
<br/><br/><label>LCCN: </label>
<br/><br/><label>Subjects--Topical Terms: </label><br/>Evolutionary computation.<br/>Multiple criteria decision making.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>TA347.E96  / L53 2020 
<br/><br/><label>Dewey Class. No.: </label>006.3823