Search Results - (( developing state problem algorithm ) OR ( java implication based algorithm ))
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Multi-state PSO GSA for solving discrete combinatorial optimization problems
Published 2016“…As a consequence, multi-state particle swarm optimization (MSPSO) and multi-state gravitational search algorithm (MSGSA) are developed. …”
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Stochastic optimal control of economic growth model under research and development investment with Kalman filtering approaches
Published 2022“…These approaches aim to estimate the state dynamics from different perspectives. With these state estimates, two different computational algorithms are proposed, the EKF for state-control (EKF4SC) and UKF for state-control (UKF4SC) algorithms. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The algorithm developed in this thesis contains three sub-algorithms. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Published 2025“…This review paper provides in-depth discussions on various challenges and breakthroughs in numerous state-of-the-art nature-inspired artificial intelligence (AI) algorithms in solving multi-objective optimization engineering problems with emphasis on the mathematical modelling and algorithm developments. …”
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…Therefore, it can be stated that the genetic algorithm approach developed in this study is efficient in solving large scale vehicle routing problem subject to precedence constraints with the objective of minimizing the distance travelled.…”
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Enhanced Instantaneous Power Theory with average algorithm for indirect current controlled three-level inverter-based shunt active power filter under dynamic state conditions
Published 2016“…The proposed algorithm is developed and evaluated in MATLAB/Simulink. …”
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Algorithms of Classification of Mass Problems of Production Subject Domains
Published 2019“…This paper develops the algorithms for classification of mass problems of production subject domains. …”
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Enhanced control algorithms for multilevel inverter-based shunt active power filter
Published 2017“…In addition, it is thoroughly evaluated under both steady-state and dynamic-state conditions. Moreover, a laboratory prototype is developed with all the proposed control algorithms downloaded in TMS320F28335 digital signal processor (DSP) board for validation purposes. …”
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A hybrid SP-QPSO algorithm with parameter free adaptive penalty method for constrained global optimization problems
Published 2018“…This paper attempts the suitability of newly developed hybrid algorithm, Shuffled Complex Evolution with Quantum Particle Swarm Optimization abbreviated as SP-QPSO, extended specifically designed for solving constrained optimization problems. …”
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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…In each case, the Traveling Salesman Problem-Genetic Algorithm (TSP-GA) algorithm is applied to determine a minimum total distance of RES sites integration. …”
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Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition
Published 2017“…In this project, the algorithm is developed based on four main algorithms which are the detection algorithm, the tracking algorithm, the preprocessing algorithm and the drowsiness signs analysis algorithm. …”
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A novel multi-state particle swarm optimization for discrete combinatorial optimization problems
Published 2012“…Instead of evolving a high dimensional bit vector as in BinPSO, the proposed MSPSO mechanism evolves states of variables involved. The MSPSO algorithm has been applied to two benchmark instances of traveling salesman problem (TSP). …”
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Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
Published 2020“…Multi-objective swarm intelligence-based (MOSI-based) metaheuristics were proposed to solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris’s hawk multi-objective optimizer (HHMO) algorithm is a MOSIbased algorithm that was developed based on the reference point approach. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…As for WXES3l82, the thesis cover the development of programming code, the code implementation and testing and the evaluation including discussion about the problem/constraints meed in the coding program development. …”
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Hybridized firefly algorithm for multi-objective radio frequency identification (RFID) network planning
Published 2017“…A novel approach of hybrid firefly algorithm was developed for multi-objective RNP problem. …”
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Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
Published 2019“…Many variants have been developed to cope with this problem and improve algorithm performance. …”
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