meta-heuristic algorithm
Designing a Meta-Heuristic Algorithm Based on a Simple Seeking Logic
... this algorithm, each solution represents as a particle in the real ...competitive algorithm (ICA) has been developed based on social and political strategies of the countries ...search algorithm ...
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An Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems
... The proposed MFA to solve ELD problem by considering the practical constraints has been presented in this paper. From the comparison table it is observed that the proposed algorithm exhibits a better performance ...
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Proposing a Meta Heuristic Algorithm for Enhanced Oil Recovery Using CO2 Injection
... objective functions. Next, we performed non-dominated sorting. According to the definition, A dominates C if it is not worse than C in any function and is better than it in at least one function. The population members ...
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Optimal Allocation of SVC for Enhancement of Voltage Stability Using Harmony Search Algorithm
... IEEE 14 bus system [24] contains 5 generator buses (bus numbers: 1,2,3,6 and 8), 9 load buses (bus numbers: 4, 5, 7,9,10,11,12,13 and14) and 20 transmission lines including 3 transformers The details of the system data ...
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AUDIO DATA AS AN ENCODING FOR COLOR QUICK RESPONSE CODE (CQR) 3D BARCODES
... a meta-heuristic algorithm that combines two techniques widely used in combinatorial optimization starting with the Wolverine (Greedy) algorithm which allows to build some initial solutions, ...
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An imperialist competitive algorithm for solving the production scheduling problem in open pit mine
... competitive algorithm (ICA) Imperialist competitive algorithm (ICA) is a new population-based meta-heuristic algorithm proposed by Atashpaz-Gargari and Lucas (2007), inspired from the ...
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Online Full Text
... other meta-heuristic algorithm, which idealises some of the flashing characteristics of fireflies, has been recently developed and named the Firefly algorithm ...nature-inspired ...
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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 ...
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Solution approach for a large scale personnel transport system for a large company in Latin America
... considered meta-heuristic algorithm provided consistent solutions with a mean approximation error from the exact solution of ...the meta-heuristic can yield results with similar ...
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An Improved Imperialist Competitive Algorithm based on a new assimilation strategy
... The heuristic algorithms have widely been used to reach global optimum of different ...Genetic Algorithm (GA) [2], Particle Swarm Optimization (PSO) [3], Ant Colony Optimization (ACO) [4], Differential ...
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Solving a new multi-objective resource constrained project scheduling problem by SAICA and compare it with DE method
... hybrid meta-heuristic algorithm based on Imperialist Competitive Algorithms (ICA) named Self-Adaptive Imperialist Competitive Algorithm (SAICA) to solve the mathematical model which has never ...
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Combined Economic Emission Dispatch Problem of Thermal Generating Units Using Grey Wolf Optimization
... new meta-heuristic algorithm, called grey wolf optimization (GWO) is presented to solve combined economic and emission dispatch (CEED) problem considering transmission ...proposed algorithm ...
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A Nature Inspired Meta-Heuristic Optimization Algorithm for a Packet-Switched Network Routing
... optimization algorithm called Ant colony optimization (ACO) algorithm to reduce some of the problems encounter during routing ...Optimizatio, Meta-heuristic Algorithm, Routing, Packet ...
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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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Performance Optimization of Image Fusion using Meta Heuristic Genetic Algorithm
... Curvelet transform is close to wavelet transform in low frequency region, image component including main energy decide image contour, so it can enhance effect of the image vision by correctly selecting low frequency ...
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Hybrid Meta Heuristic Search Algorithm For High Dimensional Data Transmission
... the two criteria to design a two step S-random interleaver. Recently some deterministic interleavers have been proposed [11]. These interleavers are designed to achieve maximum spread to correct single error events and ...
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Pressure Driven Demand and Leakage Simulation for Pipe Networks Using Differential Evolution
... The second considered network is a real planned network designed for an industrial area in Apulian town (Southern Italy). The network layout is shown in Figure 5 and the corresponding data are provided in Table 3. With ...
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Combining Harmony search algorithm and Ant Colony Optimization algorithm to increase the lifetime of Wireless Sensor Networks
... of the graph. The number of rows in the harmony memory matrix is HMS. Harmony memory matrix has n+1 Columns and n is the maximum length of a path. This can be a maximum path length to the number of nodes in the graph. ...
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Overview of PSO for optimizing process parameters of machining
... or meta-heuristic techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO) and Artificial Bee Colony algorithm ...
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Internetworking Indonesia Journal
... The work of M.F Bashir, and S.H.K. Banuri, [1] extends the paradigm of the test data generation system to incorporate both specifications and model based testing which helps to perform the reclassification of the code, ...
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