Search Results - (( solution population practices algorithm ) OR ( java implication based algorithm ))
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…However, the HKA algorithm has its own flaws. Although it was introduced as a population-based stochastic optimization algorithm, HKA is not exactly a population-based algorithm because it initializes and updates only a single solution. …”
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Thesis -
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Flexible job shop scheduling using priority heuristics and genetic algorithm
Published 2010“…In the next method, a genetic algorithm has been developed. It has been shown that proposed genetic algorithm with a reinforced initial population (GA2) has better efficiency compared to a proposed genetic algorithm with fully random initial population (GA0). …”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023“…The purpose of choosing parameters is to get the best generalization performance. Genetic Algorithm (GA) is used to search for the best parameter of SVM classification by using combination of random and pre-populated genomes from Pre-Populated Database (PPD). …”
Conference Paper -
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…Instead of static aggregate such as a weighted sum, MOGA dynamically determine an aggregate of multiple objective values of a solution based on its relative quality in the current population, typically as the degree to which the solution dominates others in the current population. …”
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Proceeding Paper -
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Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…Two modified genetic algorithms are devised and employed to provide the best approximate process planning solution. …”
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Article -
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Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques
Published 2024“…Prawn cultivation is a crucial aquaculture industry, but it faces significant challenges related to inefficient feeding practices and lack of accurate population monitoring. …”
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Final Year Project / Dissertation / Thesis -
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The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem
Published 2019“…Smart algorithms have been developed to address this issue. …”
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Solving multi-task optimization problems using the sine cosine algorithm
Published 2022“…More precisely, our work investigates the adoption of partitioned population based on Sine Cosine algorithm for dealing with MTO problem. …”
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Conference or Workshop Item -
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Alternative method for economic dispatch utilizing grey wolf optimizer
Published 2015“…In addition, the flexibility of this algorithm is a merit to solve different problems by only setting few parameters such as number of population and number of iteration without any special changes in the structure of the algorithm. …”
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11
Semantic relatedness maximisation for word sense disambiguation using a hybrid firefly algorithm
Published 2021“…Because of the FA is based on a population of solutions, it explores the problem space more than exploiting it. …”
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Article -
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An adaptive gravitational search algorithm for global optimization
Published 2023“…Gravitational Search Algorithm (GSA) is one of the relatively new population-based optimization algorithms. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Coordination of PSS and PID controller for power system stability enhancement - overview
Published 2023“…Research showed the design of controllers based on conventional methods; soft computing and population based algorithms suffer from limitations. …”
Article -
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Enhancing Harmony Search Parameters Based On Step And Linear Function For Bus Driver Scheduling And Rostering Problems
Published 2018“…Optimization is a major challenge in numerous practical world problems.According to the “No Free Lunch (NFL)” theorem,there is no existing single optimizer algorithm that is able to resolve all issues in an effective and efficient manner.It is varied and need to be solved according to the specific capabilities inherent to certain algorithms making it hard to foresee the algorithm that is best suited for each problem.As a result,the heuristic technique is adopted for this research as it has been identified as a potentially suitable algorithm.Alternative heuristic algorithms are also suggested to obtain optimal solutions with reasonable computational effort.However,the heuristic approach failed to produce a solution that nears optimum when the complexity of a problem increases;therefore a type of nature-inspired algorithm known as meta-euristics which utilises an intelligent searching mechanism over a population is considered and consequently used.The meta-heuristic approach is widely used to substitute heuristic terms and is broadly applied to address problems with regards to driver scheduling.However,this meta-heuristic technique is still unable to address the fairness issue in the scheduling and rostering problems.Hence,this research proposes a strategy to adopt an amendment of the harmony search algorithm in order to address the fairness issue which in turn will escalate the level of fairness in driver scheduling and rostering.The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems.In this respect,the three main operators in harmony search,namely the Harmony Memory Consideration Rate (HMCR),Pitch Adjustment Rate (PAR) and Bandwidth (BW) play a vital role in balancing local exploitation and global exploration.These parameters influence the overall performance of the HS algorithm,and therefore it is crucial to fine-tune them. …”
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Minimizing the number of stunting prevalence using the euclid algorithm clustering approach
Published 2023“…The solution created is to classify and cluster the prevalence of stunting to produce a pattern that can be used as best practice to be transmitted to other affected areas. …”
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Conference or Workshop Item -
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Using genetic algorithms to optimise land use suitability
Published 2012“…In the GAs Model, parent selected among the initial population. In fact, the initial population includes the land suitability analysis, land use/ land cover, which is extracted from RS and scenarios of land evaluation and crop suitability. …”
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Thesis -
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Performance analysis of hybrid renewable energy systems used for rural electrification in Malaysia / Laith Mahmoud Mohammad Halabi
Published 2017“…Furthermore, the development of solar radiation prediction algorithms in addition to integrating a flexible hybrid renewable energy design are presented. …”
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Thesis -
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