[PDF] Top 20 A novel hybrid teaching learning based multi-objective particle swarm optimization
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A novel hybrid teaching learning based multi-objective particle swarm optimization
... each particle in population provides great benefits to control convergence and promote diversity of solutions ...[26], multi-objective dichotomy line search (MOLS) strategy is activated periodically ... See full document
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A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso
... plug-in hybrid electric vehicles (PHEVs), and domestic controllable loads at residential level to effectively participate in the voltage and frequency control of the smart ...classified based on their ... See full document
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A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
... In multi-objective optimization, we have to find a set of solutions which is high competitive in terms of convergence, distribution, and ...two-objective optimization, we design a ... See full document
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Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
... Pattern-based techniques are heuristic methods which use regular expressions that have been effectively implemented for information extraction. In this method, texts are scanned for specific lexical-syntactic ... See full document
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Multi-Objective Optimization Design of Magnetic Bearing Based on Genetic Particle Swarm Optimization
... traditional optimization method mainly uses single-objective optimization by finite element software, in which calculation amount is large, and it is difficult to obtain an optimal solution for the ... See full document
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A Tabu Search hyper heuristic strategy for t way test suite generation
... a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic ...of Teaching Learning Based Optimization, Global ... See full document
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A Hybrid Differential Particle Swarm Optimization Approach to Solve a Multi-objective Parallel Machine Scheduling Problem
... a hybrid algorithm that combines differential evolution with particle swarm optimization, namely HDEPSO, in order to solve the given ...Our objective is to achieve faster convergence ... See full document
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A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection
... As already mentioned, the above cited metrics can be used to evaluate the adequacy of a test suite to exercise a particular SW, with respect to the chosen coverage cri- terion. As such, they are usually named as test ... See full document
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Evolutionary Programming Techniques for Solving Non Convex Economic Load Dispatch Problem with Valve Point Loading Effect
... primary objective of the ELD is to minimize the total fuel cost of generation while satisfying the operational ...programming based optimization techniques such as lambda iteration method ... See full document
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A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems Pages 1-22 Download PDF
... and swarm intelligence based algorithms are probabilistic algorithms and required common controlling parameters like population size and number of ...and swarm intelligence based ...the ... See full document
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A Multi Objective Chaotic Particle Swarm Optimization Algorithm Based on Improved Inertial Weights
... the particle swarm algorithm with other algorithms and so ...optimize multi-peak ...new particle memory strategies were adopted in the ...a multi-objective interactive PSO ... See full document
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AHP COA Combined Algorithm for Selecting a Digital Production Machine Design
... distanceand-quality based replacement criterion for pool ...a hybrid Chaotic Ant Swarm approach for the graph Coloring problem ...was based on a novel swarm intelligence ... See full document
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Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator
... an objective or cost function. There are many calculus-based methods including gradient approaches to single objective optimization and are well documented in Arora [7] and Rao ...heuristic ... See full document
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Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning based Optimizations
... II. PARTICLE SWARM OPTIMIZATION (PSO) Behavior of swarms motivated the main concept of the ...a swarm of birds of fishes searching for the food randomly in a specific ...velocity. Swarm ... See full document
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Time–Cost–Quality Trade-O in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study
... any multi-objective ...by multi-objective evolutionary algorithms (MOEAs) to face finding the Pareto front, and evolutionary algorithms (EAs) could explore various parts of the Pareto front ... See full document
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Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
... machine learning and optimization methods that had been used to model the function of harvesters of various ...machine learning methods had been recently proposed to predict the optimal performance ... See full document
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Optimizing blasting’s air overpressure prediction model using swarm intelligence
... Meanwhile, multi swarm optimization (MSO) is a variant of PSO which utilizes multiple ...the swarm from converging on the wrong solution (local optima) especially in a multi modal ... See full document
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The planing of distribution generation (dg) based on multi objective quantum particle swarms optimization (qpso)
... economic-technical optimization objective of distribution network to which distributed generation is added, a multi-objective model is proposed in this ...the multi-objective ... See full document
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... a multi- objective approach is used to optimize the number of clusters and to manage the energy dissipation ...a multi-objective variant of Particle Swarm Optimization ... See full document
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... methods based on artificial intelligence have been proposed to solve the economic dispatch problem, these are genetic algorithm [8][9], Tabu search [10], particle swarm optimization ... See full document
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