Meta-heuristic
Meta Heuristic Approach for Task Scheduling In Cloud Datacenter for Optimum Performance
... Abstract— Task scheduling and resource provisioning is the core and challenging issues in cloud environment. Processes running in the cloud environment will race for available resources in order to complete their tasks ...
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Population based meta-heuristic techniques for solving optimization problems: A selective survey
... Ant colony optimization [3,4,5] is a meta-heuristic technique introduced for solving combinatorial optimization problems. Inspiration for ACO is the foraging behaviour of real ants. When searching for food, ...
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Hybrid Meta Heuristic Search Algorithm For High Dimensional Data Transmission
... This paper presented a high dimensional interleaver design procedure using hybrid GSO, a Meta – heuristic search algorithm. The algorithm has been developed by hybridizing renowned GSO and GA in high ...
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Meta heuristic algorithms for optimized network flow wavelet based image coding
... In the GA and PSO implementations, population size (K) was set to two different values, e.g. 30 and 60 and a number of generations (NG) is selected to find all optimum paths. These algorithms attempt to find all optimal ...
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Face Recognition based on a Hybrid Meta heuristic Feature Selection Algorithm
... hybrid Meta-heuristic feature selection algorithm is ...hybrid meta- heuristic algorithm using Genetic algorithm (GA) and Bacteria Foraging Optimization ...
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Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM
... (PSO) meta heuristic method which was called H-PSO was proposed , in which the arrangement of the particles was done dynamically in a hierarchy , which was used to define the neighbourhood ...
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An Effective Meta-Heuristic Cuckoo Search Algorithm for Test Suite Optimization
... It is an optimization algorithm developed by Yang et al. in the year 2009. Cuckoos are by and large known for their sweet voices, yet they have a forceful proliferation method. They lay their eggs in the nest of other ...
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Time Series Predictive Analysis based on Hybridization of Meta-heuristic Algorithms
... 2) Cuckoo Search Algorithm: Cuckoo Search Algorithm (CSA) is one of the promising meta-heuristic algorithms which was invented by Xin-She Yang [21]. CSA is inspired by brood parasitism of cuckoo species, ...
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A Hybrid Meta-heuristic for the Dynamic Layout Problem with Transportation System Design
... and heuristic or meta- heuristic ...efficient meta- heuristic design based on the simulated annealing algorithm to solve the proposed ...
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A Hybrid Modified Meta-heuristic Algorithm for Solving the Traveling Salesman Problem
... A computational experiment has been conducted in Table 3 to compare the performance of the proposed algorithm with some of the best techniques designed including GA, ACS, PSO (Zhong, Zhang and Chen, 2007) and Bee Colony ...
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Addressing the Freight Consolidation and Containerization Problem by Recent and Hybridized Meta-heuristic Algorithms
... 3. 6. Hybridized RDA & GA (RDGA) In this section, by hybridized RDA and GA, a new meta-heuristic is developed. This algorithm obtains RDA as main loop and GA as a local search. It seems that RDA is very ...
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Comparing Two Meta-Heuristic Approaches for Solving Complex System Reliability Optimization
... Using meta-heuristic approaches to solve reliability and redundancy allocation problems (RRAP) has become attractive for researchers in recent ...developed meta-heuristic approach imperialist ...
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A Nature Inspired Meta-Heuristic Optimization Algorithm for a Packet-Switched Network Routing
... ABSTRACT: The increase in growth of communication networks such as internet or intranet over large computer network requires a solution of network routing problem to be addressed in a packet-switched network. In the ...
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A goal attainment model for transmission expansion planning using a meta heuristic technique
... decomposition, heuristic and meta heuristics algorithms ...other meta heuristics solutions, GAs are more efficient in terms of computational time and may find a better solution than the other ...
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Radio over Fiber Networks Synthesis Using Meta-Heuristic BCO
... a meta-heuristic local search algorithm, which uses a local search procedure that consists of re- peated transition from one possible solution to the im- provement of other solutions, but forbidding those ...
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A Comparative Study of the Prediction Stock Crash Risk by using Meta- Heuristic & Regression
... Many researchers, such as Chen et al. (2001), believe that the stock price changes of a company result from its internal information management. In the event that the information is randomly introduced into the market ...
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Multi Machine PSS Design by using Meta Heuristic Optimization Techniques
... ABSTRACT: Designing power system stabilizer (PSS) in multi machine power systems has always been reported as a critical issue; because, unsuitable adjusting of PSSs may lead to stability decreasing instead of stability ...
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Meta Heuristic Neural Network Model For Data Security In Cloud Platform
... In decades accuracy of distributed data storage was investigated including I / O performance and security. Whereas the security and hardware of people developed much more concrete meaning, many issues are still in cloud ...
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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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A meta heuristic web based optimization tool for assembly line balancing problems
... the Meta-heuristic Web- based Optimization Tool for ...chapter, heuristic methods and GA will be used to solve the SALBP via the Internet using a web browser such as Internet Explorer or Mozilla ...
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