Search Results - (( its application ((search algorithm) OR (acs algorithm)) ) OR ( _ application swarm algorithm ))*
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Modified ACS centroid memory for data clustering
Published 2019“…The key component that governs the search process in this algorithm is the management of its memory model. …”
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An improved ACS algorithm for data clustering
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Improved particle swarm optimization by fast annealing algorithm
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Swarm Intelligence Based Protein Conformational Search Algorithm.
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…The first improvement includes the use of Opposition Based Learning (OBL) at initialization phase of SSA to improve its population diversity in the search space. The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
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Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System
Published 2014“…Based on this information, the particles will improve its position in the search space by moving towards its best record and the swarm best record. …”
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Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
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A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization
Published 2018“…Hence, more difficult benchmark problems must be utilized to validate new algorithms performance. A well-known optimizer, Multi-Objective Particle Swarm Optimizer (MOPSO), has a few weakness that needs to be addressed, specifically its convergence in high dimensional problems and its constraints handling capability. …”
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Impact of initialization of a modified particle swarm optimization on cooperative source searching
Published 2023“…Particle swarm optimization (PSO) is one of the famous algorithms have been used for source searching where its effectiveness depends on several factors. …”
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Asynchronous particle swarm optimization for swarm robotics
Published 2012“…Hence this paper looks into the differences between synchronous and asynchronous PSO and its application in swarm robotics search.…”
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