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An experimental study of modified black hole algorithms
Published 2018“…Those algorithms are Black Hole White Hole Algorithm, Gravitational Black Hole Algorithm, Gravitational Black Hole White Hole Algorithm, Black Hole Local Search Algorithm, Black Hole White Hole Local Search Algorithm, Gravitational Black Hole Local Search Algorithm, and Gravitational Black Hole White Hole Local Search Algorithm. …”
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Thesis -
2
Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search
Published 2014“…The second problem is the use of a single algorithm that failed to solve local optima. …”
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3
Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…Then, we hybrid the enhanced algorithm with the local search strategy to ensures the acceleration of the convergence speed to the non-dominated front. …”
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A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems
Published 2018“…However, it undergoes the premature convergence problem for high dimensional problems because the algorithm converges rapidly. Therefore, we proposed a robust approach to solve this issue by hybridizing optimization algorithm, which is a combination of Cuckoo search algorithm and Hill climbing called CSAHC discovers many local optimum traps by using local and global searches, although the local search method is trapped at the local minimum point. …”
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Local Search Based Enhanced Multi-objective Genetic Algorithm of Training Backpropagation Neural Network for Breast Cancer Diagnosis
Published 2017“…The use of local search within the enhanced NSGA II operating can accelerate the convergence speed towards the non-dominated front and ensures the solutions attained are well spread over it. …”
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Book Chapter -
6
Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…Then CDSOS approach further improves the SOS algorithm by hybridising it with Cuckoo search’s levy flight to minimise the degree of imbalance between the local search space and the global search thereby improving the tasks to VM mapping. …”
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7
An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization
Published 2019“…To demonstrate the algorithm switching principle, underwater acoustic source localization using a swarm of Autonomous Surface Vehicles (ASVs) is considered. …”
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8
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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An improved bees algorithm local search mechanism for numerical dataset
Published 2015“…This algorithm performs a kind of exploitative neighbourhoods search combined with random explorative search. …”
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10
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…Firstly, a new strategy based on a combined method (i.e. single-objective Gravitational Search (GSA) with Bat Algorithm (BAT) (SOGS-BAT)) algorithm is proposed in which relies on the closed interval between 0 and 1 to avoid falling into local search. …”
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11
A hybrid local search algorithm for minimum dominating set problems
Published 2022“…To solve these problems, we propose a two-stage hybrid local search algorithm. In the first stage, we propose an adaptive information content-based local search algorithm as an exploratory procedure. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…To solve these problems, we propose a two-stage hybrid local search algorithm. In the first stage, we propose an adaptive information content-based local search algorithm as an exploratory procedure. …”
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Improvement DACS3 Searching Performance using Local Search
Published 2009“…Three supportive strategies are used such as dynamic candidate list, elitist ants and pheromone trail smoothing whereas improvement strategies used local search. …”
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Conference or Workshop Item -
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Hybridizing Invasive Weed Optimization with Firefly Algorithm for Unconstrained and Constrained Optimization Problems
Published 2017“…The firefly algorithm (FA is effective in local search, but can easily get trapped in local optima. …”
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Reactive max-min ant system: An experimental analysis of the combination with K-OPT local searches
Published 2015“…Ant colony optimization (ACO) is a stochastic search method for solving NP-hard problems. The exploration versus exploitation dilemma rises in ACO search.Reactive max-min ant system algorithm is a recent proposition to automate the exploration and exploitation.It memorizes the search regions in terms of reactive heuristics to be harnessed after restart, which is to avoid the arbitrary exploration later.This paper examined the assumption that local heuristics are useless when combined with local search especially when it applied for combinatorial optimization problems with rugged fitness landscape.Results showed that coupling reactive heuristics with k-Opt local search algorithms produces higher quality solutions and more robust search than max-min ant system algorithm.Well-known combinatorial optimization problems are used in experiments, i.e. traveling salesman and quadratic assignment problems. …”
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Pressure vessel design simulation using hybrid harmony search algorithm
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An effective hybrid local search approach for the post enrolment course timetabling problem
Published 2020“…This work proposes a two-phase hybrid local search algorithm to address the PE-CTT problem. …”
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A new HMCR parameter of harmony search for better exploration
Published 2016“…However, when performing a local search, the harmony search algorithm can be easily trapped in the local optima. …”
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A new HMCR parameter of harmony search for better exploration
Published 2015“…However, when performing a local search, the harmony search algorithm can be easily trapped in the local optima. …”
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