شماره ركورد كنفرانس :
1150
عنوان مقاله :
Optimal Design of Concrete Gravity Dam using Honeybee Mating Optimization (HBMO)
پديدآورندگان :
Nourani Vahid نويسنده , Mohebbi Amin نويسنده , Nabii Mina نويسنده
تعداد صفحه :
9
كليدواژه :
swarm intelligence , optimization , heuristic , Concrete gravity dam , Honeybees Mating Optimization
سال انتشار :
1387
عنوان كنفرانس :
سومين كنفرانس مديريت منابع آب ايران
زبان مدرك :
فارسی
چكيده فارسي :
Optimization of dam and massive structures is a popular topic in civil engineering due to the complexity of the problem and benefits to industry. Current structural optimization software packages often lack the ability to find original optimal designs because of their deterministic nature, while those employing stochastic methods are not tailored specifically for dam and massive concrete structures. This paper presents a methodology to arrive at optimal design of concrete gravity dam using Honeybee mating optimization (HBMO) algorithm that is a general search technique for the solution of difficult combinatorial problems with its theoretical roots based on the marriage behavior in honeybees. The results clearly indicate that HBMO yields the best solutions for all benchmarks due to its capability to explore and exploit the solution space effectively.
شماره مدرك كنفرانس :
4461990
سال انتشار :
1387
از صفحه :
1
تا صفحه :
9
سال انتشار :
1387
لينک به اين مدرک :
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