الگوریتم ژنتیک یک روش تحقیقاتی بر اساس اصول انتخاب طبیعی و ژنتیک است.ما بایک مقدمه ای ساده به سوی الگوریتم ژنتیک و اصطلاحات علمی پیوند داده شده با آن،شروع میکنیم.الگوریتم ژنتیک در ردیف متناهی از الفبا،در اعداد اصلی و در راستای متناهی بررسی میشود.ردیفی که کاندیدی برای تحقیق در مورد مسائل است به کروموزوم اشاره دارد وحروف الفبا به ژن اشاره دارد وارزش ژن به آلل وابسته است. برای مثال در یک مسئله فروشنده سیار که در آن یک کرومزوم نشان دهنده مسیر است و ژن نشان دهنده یک شهر میباشد که در مقایسه با فن بهینه سازی،سنتی GAبا کد کردن یک پارامتر از خود پارامتر سریعتر عمل میکند. در باز کردن یک ترکیب خوب ما به معیار تمایز ترکیب خوب از ترکیب بد نیاز داریم.معیار ممکن است یک هدف متغیر که وابسته به مدل ریاضی باشد یا شبیه به یک کامپیوتر یا میتواند یک ساخته ذهنی باشد که انسان برای غلبه بر ترکیبهای غلط انتخاب کرده است.در ذات یک معیار خوب باید یک روش در تکامل به وسیله GA صورت گیرد.مفهوم مهم دیگر GA خانواده یک جمعیت است. بر خلاف روشهای سنتی تحقیق GA به جمعیت داوطلب تکیه دارد. اندازه جمعیت که همیشه یک پارامتر خاص است یکی از مهمترین فاکتورهای اثر گذاری در درجه پیشرفت الگوریتم ژنتیک است. برای مثال جمعیت کوچک امکان یک همگرایی نابهنگام و راه حل غیر استاندارد را ایجاد میکند. به عبارت دیگر جمعیتهای بزرگ به هزینه های غیر ضروری و افزایش زمان شمارش ها منتهی میگردد.
Abstract
Genetic algorithms (GAs) are search methods based on principles of natural selection and genetics (Fraser, 1957; Bremermann, 1958; Holland, 1975). We start with a brief introduction to simple genetic algorithms and associated terminology.
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منابع اطلاعاتی اضافه شده:
چند نرم افزار:
GARAGe, http://garage.cps.msu.edu/. Genetic Algorithms Research
and Applications Group.
LGADOS in Coley (1999).
NeuroDimension, http://www.nd.com/genetic/
116 SASTRY, GOLDBERG AND KENDALL
Simple GA (SGA) in Goldberg (1989b).
Solver.com, http://www.solver.com/
Ward Systems Group Inc., http://www.wardsystems.com/
موارد معرفی دیگر:
see Holland (1975), Davis (1987), Goldberg (1989b), Davis
(1991), Beasley et al. (1993), Forrest (1993), Reeves (1995), Michalewicz
(1996), Mitchell (1996), Falkenauer (1998), Coley (1999), and Man
et al. (1999).
الگوریتم MEMTIC:
Radcliffe and Surry (1994), Moscato (1999, 2001), Moscato and Cotta (2003),
Hart et al. (2004), Krasnogor et al. (2004), Krasnogor and Smith (2005).
You might also like to refer to the Memetic Algorithms Home Page at
http://www.densis.fee.unicamp.br/∼moscato/memetic home.html
نویسنده:
Evolutionary Computation, http://mitpress.mit.edu/
catalog/item/default.asp?tid=25&ttype=4
Genetic Programming and Evolvable Machines,
http://www.kluweronline.com/issn/1389-2576/contents
الگوریتم ژنتیک:
IEEE Transactions on Evolutionary Computation,
http://www.ieee-nns.org/pubs/tec/
کنفرانس:
Congress on Evolutionary Computation (CEC)
Genetic and Evolutionary Computation Conference (GECCO)
Parallel Problem Solving in Nature (PPSN)
Simulated Evolution and Learning (SEAL)