[PDF] Top 20 A modified indicator based evolutionary algorithm (mIBEA)
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A modified indicator based evolutionary algorithm (mIBEA)
... Abstract—Multi-objective evolutionary algorithms (MOEAs) based on the concept of Pareto-dominance have been successfully applied to many real-world optimisation ...towards indicator-based ... See full document
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Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis
... The experiments with ELSA consist of two main parts: First part shows that implementing both global and local search is essential for black box level set benchmarks. The importance of mixed mutation strategy is measured ... See full document
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Self Supplied Microgrid Economic Scheduling Based on Modified Multiverse Evolutionary Algorithm
... [13] Wang, Boyu, Morteza Dabbaghjamanesh, Abdollah Kavousi Fard, and Shahab Mehraeen. "Cybersecurity Enhancement of Power Trading Within the Networked Microgrids Based on Blockchain and Directed Acylic Graph ... See full document
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Modified NSGA II for a Bi Objective Job Sequencing Problem
... Multi-objective Evolutionary Algorithm (MOEA) known as NSGA-II (Non-Dominated Sorting Genetic Algorithm-II) [28] is ...population based nature and non-domination sort which assigns rank and ... See full document
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Error Minimization in Localization of Wireless Sensor Networks using Modified Cuckoo Search with Mobile Anchor Positioning (MCS Map) Algorithm
... MCS-MAP algorithm has been applied over MAP to reduce localization ...the Modified Cuckoo Search with Mobile anchor positioning (MCS-MAP) algorithm significantly brings down the RMSE based ... See full document
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Adaptive Load Balancing in the Modified Mind Evolutionary Computation Algorithm
... optimization algorithm must imply a minimum number of interactions between sub–populations which evolve on separate computational ...MEC algorithm, meet this ... See full document
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A New RSSI based Centroid Localization Algorithm by Use of Virtual Reference Tags
... a modified algorithm similar to the Virtual Reference Elimination (VIRE) algorithm ...This modified algorithm uses the signal propagation model [7] to construct the Received Signal ... See full document
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Evaluation of Minimum Makespan using Modified Evolutionary Algorithm
... Genetic Algorithm for Job Shop ...annealing algorithm, genetic algorithm and tabu search technique are general and can achieve a satisfied solution, but their performance depends on the parameters ... See full document
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... Genetic Algorithm II (NSGA-II), Strength Pareto Evolutionary Algorithm - II (SPEA-II) and the Indicator-Based Evolutionary Algorithm (IBEA) to evaluate the quality of the ... See full document
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Multi indicators Multi objective Evolutionary Algorithm with Q Learning for Real world Network Optimization
... single indicator often misguides the search toward a certain subregion of Pareto solutions and then the search is ...the algorithm based on a single indicator usually tends to obtain a set of ... See full document
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Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem
... reliable indicator of how far an operating point is from the collapse point ...the indicator of voltage ...first evolutionary based technique introduced in the literature was the genetic ... See full document
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A multilevel evolutionary algorithm for optimizing numerical functions Pages 419-430 Download PDF
... Simulations were performed to observe the performance of the proposed algorithms to find the optimal solutions. There are two types of common and specialized parameters associated with each test problems. Common ... See full document
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Evolutionary Algorithm Based Multi-Objective Tasks Scheduling Algorithm in Cloud Computing
... In today’s world, cloud computing is the hottest emerging area in field of Information technology [1]. Cloud computing is a service based, on-demand, pay per use model consisting of an inter-connected and ... See full document
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An Evolutionary Algorithm Based on a New Decomposition Scheme for Nonlinear Bilevel Programming Problems
... as evolutionary algorithms (EAs)/ genetic algorithms (GAs) [10,15–17], tuba search ap- proaches [18], etc, have been applied to obtain the opti- mal solutions to multi-modal ...techniques based on gradi- ... See full document
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A Robust and Efficient Evolutionary Algorithm based on Probabilistic Model
... the algorithm is studied from the perspective of the probability of the optimum and the most probable solution, novel insights can be ...the algorithm that we have considered, which are the structural model ... See full document
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Optimized Asynchronous Circuit Design based on Evolutionary Algorithm
... An Evolutionary based hazard free circuit design method is ...our evolutionary algorithm is summation of number of hazardous signal at outputs, number of faulty output and number of used ...of ... See full document
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A Survey of Evolutionary Approaches for Information Retrieval
... various Evolutionary approaches which can be used to optimize and enhance the Information Retrival System (IRS) ...of Evolutionary Approaches and their application in Information ... See full document
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MAC Architectures Based on Modified Booth Algorithm
... In this paper, a new multiplier architecture is proposed, which is a most required for digital signal processing and multimedia communication applications. This models consist of modified booth algorithm ... See full document
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A Modified Algorithm for a Density based Clustering Method
... automatic algorithm to select regions of interest which is based on factor analysis and clustering ...parameter-free algorithm based on the DSets (dominant sets) and DBSCAN ...original ... See full document
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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
... proposed algorithm with probability mutation (represented as PBIL in the figure) converges to the optimal score as time passes, whereas K2-GA stops improving in the early ...PBIL-based algorithm is ... See full document
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