Heuristic and Meta-heuristic
A Comparative Study on Heuristic and Meta Heuristic Approach in Solving a Capacitated Vehicle Routing Problem
... The Meta heuristic algorithm – Ant colony optimization also gave us a feasible solution, but results obtained from Clarke and Wright gave us an Optimum value as mentioned earlier since this algorithm is a ...
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Meta Heuristic Search Technique for Dynamic Test Case Generation
... Software testing is a suitable candidate for Search-Based Software Engineering because the generation of software tests is an undecidable problem [14, 15] and a program’s input space is very large, exhaustive enumeration ...
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A Meta-Heuristic Approach to Predict Protein-Protein Interaction Network
... (both meta-heuristic and non meta-heuristic PPI predictors) in a statistically significant fashion with respect to all the performance metrics except for ...proposed ...
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Path Prioritization using Meta Heuristic Approach
... A meta-heuristic refers to a master strategy that guides and modifies other heuristics to produce solutions beyond those that are normally generated in a quest for local ...triumphant ...
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Meta-heuristic algorithms as tools for hydrological science
... by meta-heuristic ...Other meta-heuristic algorithms (including ACO, PSO, SA, and TA) have also been applied in hydrological sciences, although their applications are much more lim- ited than ...
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Designing a Meta-Heuristic Algorithm Based on a Simple Seeking Logic
... Nowadays, in majority of academic contexts, it has been tried to consider the highest possible level of similarities to the real world. Hence, most of the problems have complicated structures. Traditional methods for ...
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Meta Heuristic based Adaptation Engine for Cognitive Radio Systems
... More future work is still needed to assess the performance of the engine in terms of convergence speeds and dynamic response time compared to conventional GA and other meta- heuristic techniques. Moreover ...
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An Experimental Analysis of Meta Heuristic Techniques on Unimodal and Multimodal Functions
... ACO is staying today as one of the most important nature inspired Meta heuristic algorithm which solves optimization problem within reasonable amount of time. ACO algorithm have been applied over diverse ...
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Skin Lesions Detection using Meta-Heuristic Method
... Meta- heuristic methods optimization algorithm is depending on contact and cooperation between individuals in a set of organisms [1]. In USA in 2013, there was more than 76,000 persons are diagnosed with ...
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Application of Modified ACO Meta heuristic in Spray and Wait Routing
... An existing routing algorithm in DTN called Spray and Wait (SnW) Routing has been modified by changing the spray phase where the ant colony algorithm will make decision[r] ...
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Determination of the Aircraft Landing Sequence by Two Meta-Heuristic Algorithms
... population, simple heuristic method, genetic algorithm etc.. have been developed to solve ALSP. Although, more than 60 papers in the field of optimizing aircrafts landing have been provided in the past three ...
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Training Radial Basis Function Neural Network using Stochastic Fractal Search Algorithm to Classify Sonar Dataset
... Abstract: Radial Basis Function Neural Networks (RBF NNs) are one of the most applicable NNs in the classification of real targets. Despite the use of recursive methods and gradient descent for training RBF NNs, ...
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Lecture4 Meta Heuristic
... – (…)A heuristic is a technique designed to solve a problem that ignores whether the solution can be proven to be correct, but which usually produces a good solution (…). – Heuristics[r] ...
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Meta-heuristic
... Intensification : Exploitation of best found solutions to search thoroughly promising regions of the search space.. Local optimum : An optimal solution within a neighbouring set of solut[r] ...
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Contrasting Availability-Aware Energy-Optimized VM Scheduling Algorithms
... or metaheuristics-based approaches have also been used to statically/dynamically consolidated the VMs into fewer Servers to reduce the energy consumption of the hosting nodes. There have also been approaches like the ...
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Performance Assessment of Grasshopper Optimization Algorithm for Optimizing Coefficients of Sediment Rating Curve
... The particle swarm algorithm is also known as another names such as algorithm of birds; like other meta-heuristic algorithms, it creates a random population of individuals. The basis of the algorithm is ...
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Optimization of a Bi-objective Scheduling for Two Groups of Experienced and Inexperienced Distribution Staff Based on Capillary Marketing
... The meta-heuristic algorithms programming has also been done in MATLAB ...MOIWO meta-heuristic algorithms have been used to solve the problem and to find approximate justified ...
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Optimal Allocation of SVC for Enhancement of Voltage Stability Using Harmony Search Algorithm
... a meta-heuristic optimization technique known as Harmony Search Algorithm is used to determine the optimal location and size of static Var compensator (SVC) in a transmission ...
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Developing the Inventory Routing Problem with Backhauls, Heterogeneous Fleet and Split Service
... small size problems proposed for genetic algorithm, satisfactory responses were reached compared with the optimal solution showing a slight error rate. In general, the average error rate was about 3.415% in the random ...
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Train Scheduling Problem with Consideration of Praying Constraint as an Application of Job Shop Scheduling Problem
... Electromagnetism-like mechanism (EM) is a population based meta-heuristic which simulates the attraction– repulsion mechanism of electromagnetism theory that is based on Coulomb’s law. EM embodies some ...
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