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1
Overview of metaheuristic: classification of population and trajectory
Published 2010“…Algorithms are used to find the solutions through the computer program. …”
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2
A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…The search agent of the primitive crow search algorithm does not always follow the best solution obtained so far. …”
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3
A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…The search agent of the primitive crow search algorithm does not always follow the best solution obtained so far. …”
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4
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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5
Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Genetic Algorithms are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region at which the algorithm converges. …”
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Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin
Published 2013“…This mechanism is restricted to search the possible solutions in a critical path. …”
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7
Multi-Swarm bat algorithm
Published 2023“…The proposed algorithm has been applied in feature selection problem and the results were compared against eight algorithms, which are Ant Colony Optimization (ACO), Genetic Algorithm (GA), Tabu Search (TS), Scatter Search (SS), Great Deluge Algorithm (GDA) and stander BA. …”
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General purpose search and classification algorithms for distributed information access
Published 2000“…Users have to visit each URLs even though the page does not suit their requests.Therefore, it is vital to provide efficient and timely Internet search algorithm to ensure the success of distributed services, particularly to facilitate the current and future applications of national information superhighway. …”
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9
Racoon optimization algorithm
Published 2019“…These capabilities make raccoons expert problem solvers and allow them to purposefully seek optimum solutions. These behaviours exploited in the ROA to search the solution spaces of nonlinear continuous problems to find the global optimum with higher accuracy and lower time coverage. …”
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Harmony great deluge for solving curriculum based course timetabling problem
Published 2013“…University course timetabling which has been determined as non deterministic polynomial problem that accept widely as problem that are intractable.An efficient algorithm does not exist that is guaranteed to find an optimal solution for such problems.The design of good algorithm to find new methods and techniques to solve such problem is a very active area of research.This paper presents the adaption of the hybridizing between harmony search with great deluge algorithm for solving curriculum-based course timetabling problems.The algorithm can be adapted to the problem.Results were not comparatively better than those previously known as best solution.Proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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Ontology matching: in search of challenges ahead
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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites
Published 2019“…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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13
Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
Published 2017“…In addition, GA able to handle multiple solution searches and solve problems, more straightforward and more flexible because it is easier to transferred in any platform. …”
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PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…PSO is a swarm-based search algorithm perform a stochastic search to explore the search space. …”
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15
Simulated annealing for solving economic dispatch problem / Wan Khairulizuan Wan Ismail
Published 2010“…The algorithm is demonstrated by its application to a test system. …”
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16
Multi-objective optimisation of assembly line balancing type-e problem with resource constraints
Published 2016“…The optimisation result indicated that the NSGA-II algorithm has better performance in finding non dominated solution due to small error ratio and small generational distance as compared to other algorithms like Multi-Objective Genetic Algorithm (MOGA) and Hybrid Genetic Algorithm (HGA). …”
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Disjunctive programming-tabu search for job shop scheduling problem / Syarifah Zyurina Nordin ... [et al.]
Published 2021“…Our objective is to determine the job order on the parallel machine and minimizing the makespan of the processing time. A tabu search (TS) algorithm has been implemented to solve the job shop scheduling problem. …”
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Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution
Published 2017“…The structure of the algorithm is designed so that the program does not require a large database to store the population, which speeds up the implementation of the program execution to obtain the solution; secondly, the algorithm has proven its success in solving the problem and finds a shortest route. …”
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Partial Newton methods for a system of equations
Published 2013“…We define and analyse partial Newton iterations for the solutions of a system of algebraic equations. Firstly we focus on a linear system of equations which does not require a line search. …”
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An Optimal Load Shedding Methodology for Radial Power Distribution Systems to Improve Static Voltage Stability Margin using Gravity Search
Published 2014“…In this paper, an effective method is presented for estimating the optimal amount of load to be shed in a distribution system based on the gravitational search algorithm (GSA). The voltage stability margin (VSM) of the system has been considered in the objective function. …”
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