Journal Article10.1007/S40997-016-0066-9
Multi-tracker Optimization Algorithm: A General Algorithm for Solving Engineering Optimization Problems
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TL;DR: This new algorithm, which is named as “multi-tracker optimization algorithm,” due to a multi-level structure of trackers within it, has some unique features, such as increasing the accuracy of the optimal point and continuous local search after convergence in order to escape from local minima simultaneously.
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Abstract: In this paper, a new computational population-based optimization algorithm, which is designed based on the advantages and disadvantages of other evolutionary optimization algorithms introduced so far, is proposed. This new algorithm, which is named as “multi-tracker optimization algorithm,” due to a multi-level structure of trackers within it, has some unique features, such as increasing the accuracy of the optimal point and continuous local search after convergence in order to escape from local minima simultaneously. Another important advantage of this algorithm is optimizing time-varying dynamical problems and tracking the optimal point. These characteristics make the algorithm very efficient for optimization problems, especially in the field of engineering. For a thorough investigation and comparison of this algorithm with other efficient optimization algorithms, different optimization problems such as static, dynamic, unconstrained and constrained, each of which has different challenges, are considered. The results of applying this algorithm on the abovementioned basic problems show the superiority of this algorithm over other efficient evolutionary algorithms.
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Citations
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Optimal groundwater remediation design of pump and treat systems via a simulation-optimization approach and firefly algorithm
Mohammad Javad Kazemzadeh-Parsi,Farhang Daneshmand,Mohammad Amin Ahmadfard,Jan Adamowski,Richard Martel +4 more
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Simulation and experimental control of a 3-RPR parallel robot using optimal fuzzy controller and fast on/off solenoid valves based on the PWM wave.
TL;DR: A robust optimal fuzzy controller based on the Pulse Width Modulation (PWM) technique is proposed to control a laboratory parallel robot using inexpensive on/off solenoid valves and the results show the superiority of the optimal fuzzy controllers compared with optimal PID controller in tracking paths with different conditions and uncertainties.
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An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization
TL;DR: RAER integrates a novel roulette inversion operator (RIO) proposed in this paper and theoretically proved to conquer the irrationality of the inversionoperator (IO) designed by John Holland when used for real code stochastic optimization algorithms.
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An improved group search optimizer for mechanical design optimization problems
TL;DR: In the proposed algorithm, subpopulations and a co-operation evolutionary strategy were adopted to improve the global search capability and convergence performance and it is shown that iGSO has much better convergenceperformance and is easier to implement in comparison with other existing evolutionary algorithms.
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