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Applied Soft Computing Journal, ISSN 1568-4946, 2012, Volume 12, Issue 3, pp. 1180 - 1186
Journal Article
Communications in Nonlinear Science and Numerical Simulation, ISSN 1007-5704, 12/2012, Volume 17, Issue 12, pp. 4831 - 4845
► A new bio-inspired algorithm, namely krill herd (KH) is proposed for global optimization. ► The time-dependent position of the krill individuals is... 
Benchmarking | Metaheuristic | Krill herd | Biologically-inspired algorithm | Optimization | MATHEMATICS, APPLIED | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | PHYSICS, FLUIDS & PLASMAS | BEHAVIOR | PHYSICS, MATHEMATICAL | DIFFERENTIAL EVOLUTION | Mathematical optimization | Algorithms | Movement | Computer simulation | Krill | Mathematical models | Density
Journal Article
05/2013, 1, ISBN 9780124051638, 450
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms,... 
Math & Science | Software Engineering & Development | Core Programming
eBook
Engineering Computations, ISSN 0264-4401, 07/2012, Volume 29, Issue 5, pp. 464 - 483
Purpose - Nature-inspired algorithms are among the most powerful algorithms for optimization. The purpose of this paper is to introduce a new nature-inspired... 
Optimization techniques | Bat algorithm | Iterative methods | Metaheuristic algorithm | Programming and algorithm theory | Engineering optimization | Studies | Engineering | Algorithms | Heuristic | Formulations | Bats | Tasks | Searching | Nonlinearity | Mathematical models | Optimization | Mathematics - Optimization and Control
Journal Article
Information Sciences, ISSN 0020-0255, 2011, Volume 181, Issue 23, pp. 5227 - 5239
This paper presents a new multi-stage genetic programming (MSGP) strategy for modeling nonlinear systems. The proposed strategy is based on incorporating the... 
Nonlinear system modeling | Engineering problems | Formulation | Multi-stage genetic programming | SCHEME | NEURAL-NETWORKS | ALGORITHM | COMPUTER SCIENCE, INFORMATION SYSTEMS | LIQUEFACTION | HYBRID APPROACH | PREDICTION | Nonlinear dynamics | Computer simulation | Neural networks | Programming | Genetics | Strategy | Mathematical models | Dynamical systems
Journal Article
Computers and Structures, ISSN 0045-7949, 2011, Volume 89, Issue 23, pp. 2325 - 2336
Journal Article
2012, ISBN 0123982960, 503
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost... 
Technology: General Issues | Mathematical optimization | Engineering mathematics
eBook
Computers and Structures, ISSN 0045-7949, 2011, Volume 89, Issue 23, pp. 2176 - 2194
Journal Article
Smart Materials and Structures, ISSN 0964-1726, 05/2013, Volume 22, Issue 5
Journal Article
2013, Elsevier insights, ISBN 9780123983640, 577
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost... 
Civil Engineering, Surveying & Building | Heuristic algorithms | Combinatorial optimization | Engineering mathematics | Heuristic programming
eBook
Neural Computing and Applications, ISSN 0941-0643, 2/2012, Volume 21, Issue 1, pp. 171 - 187
This paper presents a new approach for behavioral modeling of structural engineering systems using a promising variant of genetic programming (GP), namely... 
Multi-gene genetic programming | Simulation and Modeling | Structural engineering | Data mining | Formulation | Computer Science | ROTATION CAPACITY | WEB CRIPPLING STRENGTH | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | Physicians (General practice) | Genetic engineering
Journal Article
Kybernetes, ISSN 0368-492X, 2013, Volume 42, Issue 6, pp. 962 - 978
Purpose - To improve the performance of the krill herd (KH) algorithm, in this paper, a series of chaotic particle-swarm krill herd (CPKH) algorithms are... 
Optimization techniques | Algorithms | Krill herd | Accelerated particle swarm optimization | Chaotic maps | Global optimization problem | DIFFERENTIAL EVOLUTION | COMPUTER SCIENCE, CYBERNETICS | Studies | Mathematical problems | Competition | Population | Parameter identification | Methods | Heuristic | Tasks | Movements | Krill | Chaos theory | Robustness | Optimization | Convergence
Journal Article