... 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...

... 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 published by Goldberg and Smith (1987) , which proposed a tri...

... of OS data science tools. In parallel, this study provides an overview of existing OS data science tools. Information retrieval Image processing Data Data mining Knowledge acquisition Genetic algorithms Data science Open source Data science tools Manufacturing systems, processes...

... corresponds to RI that utilizes a population size of 100 for solving the extreme problem instance X2. © Emerald Group Publishing Limited 2014 Evolutionary computation Multi-objective optimization Genetic algorithms Response surface methodology Dynamic environments Resource...

... computation Genetic Algorithms Multi-objective optimization Response Surface Methodology Scheduling Resource-constrained project Dynamic environments It is beneficial to create empirical mathematical models that characterize Evolutionary Algorithm (EA)-based techniques (Yeguas et al...

...) 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...

... high complexity and strict time delivery constraints, is approached with a meta‐heuristic based on a hybrid genetic algorithm with combined constructive heuristics. Altiparmak et al. (2006) proposes algorithms using mixed‐integer, non‐linear programming model for multi‐objective...

...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...

... results. Part of the discussion explains the software design decisions made during the implementation of the system (Table I). © Emerald Group Publishing Limited 2012 Genetic algorithms Cooperative coevolution Coordinated supply chain Time‐varying constraints Time‐varying control systems...

... Backstepping algorithm Adaptive approximation Bounded control Prototype experiment Genetic algorithms Flight control Quad‐rotor consisting of four individual rotors of “X” arrangement has quickly emerged as a popular unmanned aerial vehicle (UAV) platform in the last several years (Travis Dierks...

...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...