Metaheuristic algorithm
Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems
... numerous metaheuristic algorithms have been developed for solving such type of ...specific algorithm which can be employed to optimize all varieties of ...novel metaheuristic algorithm for ...
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Applying a Metaheuristic Algorithm to a Multi-Objective Optimization Problem Within Personnel Psychology.
... There have been several proposed methods to address unequal selection ratios for majority and minority group members. To date, some of the more effective strategies involve abandoning GCA tests for less valid predictors ...
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Wisdom of Artificial Crowds—A Metaheuristic Algorithm for Optimization
... nature-inspired metaheuristic algorithm for optimization is ...(WoAC) algorithm relies on a group of simulated intelligent agents to arrive at independent solutions aggregated to produce a solution ...
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Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU
... search metaheuristic algorithm starts with a randomly generated ...the algorithm, the current solution is replaced by another solution selected from the neighboring candidates of a solution, and so ...
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Hybrid Metaheuristic Algorithm for Job Scheduling on Computational Grids
... GELS algorithm is used for resource reservation and independent task scheduling, so that in the objective function, if one resource can’t execute a task within its specified deadline, the task is allocated to ...
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A Combination Approach of Two Metaheuristic Algorithm for Optimal Feature Selection: Case Study Email Spam Detection
... this algorithm. The pollen pollination algorithm with two global and local search processes improves the problem-solving feature in contrasting solutions with the whale optimization ...proposed ...
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An Efficient Metaheuristic Algorithm for Optimal Capacitor Allocation in Electric Distribution Networks
... Metaheuristic algorithms use a compromise between local search and randomization that permit a solid strategy to advance from the local to global search. The Bat Algorithm was proposed in [15]. Accordingly, ...
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A Modified Metaheuristic Algorithm for Opinion Mining
... rather than to “one star”, “three stars” is intuitively near to “four stars”). In this task, initially the human performance is evaluated. Then, on the basis of a metric labeling formulation of the problem, a ...
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Discovery of Multi-Objective Overlapping Communities within Social Networks using a Socially Inspired Metaheuristic Algorithm
... According to the selected parameters of inter-group competition step as shown in Table 3, the most powerful groups are combined or the weakest groups are removed. Intra-group competition step is returned to if groups are ...
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Planar Array Synthesis with Sidelobe Reduction and Null Control Using Invasive Weed Optimization
... developed metaheuristic algorithm, known as the Invasive Weed Optimization (IWO), to the pattern synthesis of planar antenna arrays with desired pattern nulls and sidelobe level by amplitude-only and ...
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Metaheuristic Techniques for Conformational Search
... A wide range of algorithms manage the application of an embedded neighborhood exploring (local) search process are grouped together under the category of other metaheuristic algorithm. These algorithms ...
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Optimizing the Grade Classification Model of Mineralized Zones Using a Learning Method Based on Harmony Search Algorithm
... a metaheuristic algorithm called Harmony Search (HS) to obtain a proper model for the spatial distribution of the grade classes, while improving the computational cost of the traditional classification ...
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An adaptive large neighborhood search heuristic for solving the reliable multiple allocation hub location problem under hub disruptions Pages 191-202 Download PDF
... a metaheuristic algorithm which is based on the Adaptive Large Neighborhood Search (ALNS) is presented and the effectiveness of this algorithm is tested by solving large set of instances from the CAB ...
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RODES: A Robust-Design Synthesis Tool for Probabilistic Systems
... Parametric CTMC model with evolvable constructs RODES Pareto-optimal design set CSL properties objectives, constraints Metaheuristic algorithm configuration e.g., population size, iterat[r] ...
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Timetable Generation Using Ant Colony Optimization Algorithm
... ABSTRACT: Scheduling is one of the important tasks encountered in real life situations. Education timetable scheduling problem is known to be NP hard. Hence, evolutionary techniques have been used to solve the timetable ...
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Nature inspired metaheuristic algorithms a comparative review
... a metaheuristic algorithm which is population based, where each pattern corresponds to a nest and each individual attribute of the pattern corresponds to the egg of the bird (Sankalp Arora and Satvir Singh, ...
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Improved Routing in Wireless Sensor Networks Using Harmony Search Algorithm
... optimization algorithm as a metaheuristic algorithm to extend the network lifetime in WSN ...hybrid algorithm was named HS-ACO in which decreasing energy consumption and distributing energy ...
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Review on application and comparison of metaheuristic techniques to multi-area economic dispatch problem
... Evolutionary Programming (EP) [16] is a technique in the field of evolutionary computation. It seeks the opti- mal solution by evolving a population of candidate solu- tions over a number of generations or iterations. ...
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Hybrid Algorithm for Solving the Quadratic Assignment Problem
... Ball algorithm, groups of solutions are considered as soccer teams which are composed of a fixed number of players, the captain of team plays the rule of the best solution of the ...
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A fuzzy c-means bi-sonar-based Metaheuristic Optimization Algorithm
... c-means algorithm is sensitive to initialization and is easily trapped in local ...optimization algorithm is a stochastic tool which could be implemented and applied easily to solve various function ...
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