... been optimized through genetic algorithm (GA) and those set of values have been employed for the design of proportional-integral-derivative (PID) controller. Findings A performance comparison between FTID and PID controller is then investigated. The analysis shows the superiority of FTID controller...

... windows and locations. Both the overall job completion time and number of drivers utilized are analyzed for the automated job allocations and manual job assignments from transportation field experts. Design/methodology/approach – A nested genetic algorithm (GA) is used to automate the job allocation...

..., diploid uses memory of previously good solutions in order to maintain diversity in a population rather than explicitly introduce diversity. Diploidy has its roots in the 1980s, where the first idea came about by using diploid genetic algorithms (GAs). The first paper to discuss this idea was a paper...

... of OS data science tools. © Emerald Group Publishing Limited 2015 Information retrieval Image processing Data Data mining Knowledge acquisition Genetic algorithms Data science Open source Data science tools Manufacturing systems, processes and data are expanding and becoming...

...) that corresponds to a valid treatment (Inline Equation 12) in the set. Note that the elements of this set correspond to l defined in Expression I.17. © Emerald Group Publishing Limited 2014 Evolutionary computation Multi-objective optimization Genetic algorithms Response surface...

..., the theory on RSM and Lagragian optimization are explained in our other work (Abello et al., 2014). © Emerald Group Publishing Limited 2014 Evolutionary computation Genetic Algorithms Multi-objective optimization Response Surface Methodology Scheduling Resource-constrained project...

...) and multi-core processors (MCPs). Design/methodology/approach – For distributed genetic algorithm (GA) models, the paper proposes a method where an island's ID number is added to the header of data transferred by this island for use in fault detection. Findings – The paper has shown...

... convex function with high accuracy and avoiding to trap in local optima rather than using original ICA algorithm by implementing some modification on it. Originality/value – Therefore, several solution procedures, including ICA, modified ICA, and genetic algorithm and particle swarm optimization...

... distance criterion and intelligent chaotic genetic algorithm (CGA) is established to achieve a more accurate matrix in image stitching. Feature-based image stitching is used in this paper for it can handle non-affine situations. Scale invariant feature transform is applied to extract the key points...

... design and aerodynamic analysis. Design/methodology/approach The nonlinear model is built based on mechanism theory, aerodynamics and mechanics, which can reflect most dynamics in large flight envelop. Genetic algorithm (GA) and time domain flight data is adopted to estimate unknown parameters...

... experiment with simulation of large‐scale models), discovered a need for simulation frameworks and reusable algorithmic components. © Emerald Group Publishing Limited 2012 Genetic algorithms Cooperative coevolution Coordinated supply chain Time‐varying constraints Time‐varying control...

... a number of customers distributed across a certain geographical area. This problem, which has high complexity and strict time delivery constraints, is approached with a meta‐heuristic based on a hybrid genetic algorithm with combined constructive heuristics. © Emerald Group Publishing Limited 2012...

... and the feature of desired trajectory. © Emerald Group Publishing Limited 2012 Quad‐rotor Double‐loops Backstepping algorithm Adaptive approximation Bounded control Prototype experiment Genetic algorithms Flight control Quad‐rotor consisting of four individual rotors of “X” arrangement...

...Kumar S. Ray Purpose This paper aims to consider a soft computing approach to pattern classification using the basic tools of fuzzy relational calculus (FRC) and genetic algorithm (GA). Design/methodology/approach The paper introduces a new interpretation of multidimensional fuzzy implication...

...Yang Gao; Jan Peters; Antonios Tsourdos; Cem Şafak Şahin; M. Ümit Uyar Purpose This paper aims to present an approach for a bio‐inspired decentralization topology control mechanism, called force‐based genetic algorithm (FGA), where a genetic algorithm (GA) is run by each holonomic autonomous...