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Advances in Engineering Software, 22 2 Chan W. Neural network: An alternative to pile driving formulas. Computers and Geotechnics, Construction resource scheduling with genetic algorithms. Journal of Construction Engineering and Management, 2 — Chandwani V. Genetic algorithms for project management. Annals of Software Engineering, — Cheng Y. Meta-heuristics in Water.

Geotechnical and Transport Engineering, Pages — Christodoulou S. Construction imitating ants: Resource-unconstrained scheduling with artificial ants. Automation in Construction, — Coello C.

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A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers, Volume 13, Issue 4, pp Coyle H. New design correlations for piles in sand. Das S. Dayanand N. A two stage search heuristic for scheduling payments in projects. Annals of Operations Research, — Dede T.

A modified shuffled frog leaping algoritim applications project management Structure and Infrastructure Engineering, 3 1 — Elbehairy H. Information Sciences, , 5, —, Ellis G. Neural network modeling of the mechanical behavior of sand. Fang, Y. Feng C. Using genetic algorithms to solve construction time-cost tradeoff problems. Journal of Computing in Civil Engineering, 11 3 — Cartographica Sinica 39, 3, — Gandomi A.

Metaheuristic Applications in Structures and Infrastructures, 1st Edition. Elsevier New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming. Struct, 43 7 — Geem Z. Optimal cost design of water distribution networks using harmony search. Engineering Optimization, 38 3 , Georgy M.

Using genetic algorithms in optimizing construction material delivery schedules. Construction Innovation, 8 1 : , Goh A. Govindaraj V. Optimum detailed design of reinforced concrete continuous beams using Genetic Algorithms. Computers and Structures, 84 34— Gusel L.

Modeling of impact toughness of cold formed material by genetic programming. Mater Sci. Construction Management and Economics, 31 4 , Hejazi F. Optimization of Earthquake Energy Dissipation system by genetic algorithm. Process Safety and Environmental Protection. Toklu Ibri, S.

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Microcomputer in Civil Engineering. A genetic algorithm-based method for scheduling repetitive construction projects.


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Lucic P. Computing with Bees: Attacking Complex Transportation. Lucka, M. Multi-threaded ant colony optimization with asynchronous communications for the vehicle routing problem. Komunikacie 11, 4, 5—8, Mantoglou A. Water Resour. Mawdesley M. Genetic algorithms for construction site layout in project planning. McCarthy T. McKinney D. Genetic algorithm solution of groundwater management models.

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Montemanni R. Aggregate Blending via Robust Linear Programming. Journal of Construction Engineering and Management. Application of the particle swarm optimization to the inverse thermal analysis for the mass concrete structures. Doboku Gakkai Ronbunshuu 62 1 Nejad F. Niu H. CO2-optimization of reinforced concrete frames by simulated annealing. Engineering Structures, 31, , problem with simultaneous pickup and delivery. Computers and Operations Research 37, 11, — Sahaba M.

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Metaheuristic Applications in Structures and Infrastructures

AIP Conf. In Siarry, P. Structural Engineering and Mechanics, 45 2 Toklu, Y. An Overview of Metaheuristic Algorithms. Water usage and treatment network design using genetic algorithms. Vasant P. IGI Global, doi Wang, D. Computer-Aided Civil and Infrastructure Engineering, 22, 1, 44— Ant colony optimization for disaster relief operations.

Overview of Harmony Search algorithm and its applications in Civil Engineering. Journal of the Operational Research Society 62, 1, —,. Zhang Y. Optimizing construction time and cost using ant colony optimization approach.


  1. Metaheuristic Applications in Structures and Infrastructures.
  2. Metaheuristic Applications in Structures and Infrastructures.
  3. Commentary on Luke (Commentary on the New Testament Book #3).
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  5. Journal of Construction Engineering and Management, 9 — Zhao, Y. Acta Geodaetica et Zhen-zhong S. Not in United States? Choose your country's store to see books available for purchase. See if you have enough points for this item. Sign in. Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design.

    This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems.

    This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods.

    Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence.

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    Metaheuristic Applications in Structures and Infrastructures

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