Hybrid meta-heuristic algorithm
Solving a new multi-objective resource constrained project scheduling problem by SAICA and compare it with DE method
... novel hybrid meta-heuristic algorithm based on Imperialist Competitive Algorithms (ICA) named Self-Adaptive Imperialist Competitive Algorithm (SAICA) to solve the mathematical model ...
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Developing Genetic Algorithm to Solve Vehicle Routing Problem with Simultaneous Pickup and Delivery
... a heuristic method ...Wheel heuristic, Minimum Spanning Tree and Cheapest Insertion heuristic ...the heuristic, which helped correcting the solution ...a hybrid ...
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Multiple Objective Optimization and Design of Series Parallel Systems Using Novel Hybrid Genetic Algorithm Meta Heuristic Approach
... new meta-heuristic-based approach to solve a mul- ti-objective optimization problem, namely the reliability-redundancy alloca- tion problem ...genetic algorithm (GA)-based hybrid ...
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A hybrid meta-heuristic for balancing and scheduling assembly lines with sequence-independent Setup times by considering deterioration tasks and learning effect
... a hybrid meta-heuristic algorithm, called VNS/TS, comprising two components: the Variable Neighborhood Search (VNS) and the Tabu Search (TS) in which TS was employed within dened neighborhood ...
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Face Recognition based on a Hybrid Meta heuristic Feature Selection Algorithm
... a hybrid Meta-heuristic feature selection algorithm is ...a hybrid meta- heuristic algorithm using Genetic algorithm (GA) and Bacteria Foraging Optimization ...
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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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A hybrid WOA-CBO algorithm for construction site layout planning problem
... This algorithm was inspired by the hunting behavior of humpback ...a hybrid WOA-CBO was introduced in this ...other meta- heuristic algorithms and can be used in construction site layout ...
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A new meta-heuristic algorithm: vibrating particles system
... present algorithm with the outcomes of other ...(a hybrid algorithm of harmony search, particle swarm, and ant colony) [33], 97,689 lb by HBB-BC (a hybrid big bang-big crunch optimization) ...
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HYBRID BAT AND CUCKOO BASED META HEURISTIC ALGORITHM FOR PARALLEL JOB SCHEDULING IN MULTI CLUSTER ENVIRONMENT
... This is another metaheuristic approach used to schedule resources among jobs. Ant colony optimization is an extension of Genetic algorithm used to handle more complex jobs as compared to Genetic approach. ...
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An Effective Meta-Heuristic Cuckoo Search Algorithm for Test Suite Optimization
... During 70’s up to mid-80’s, people did research on test data generation using symbolic execution. Researchers have been working on test data generation since 1975, but unfortunately, there is hardly any fully automated ...
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A Hybrid Meta-heuristic for the Dynamic Layout Problem with Transportation System Design
... a meta-heuristic approach to deal with this ...efficient hybrid meta-heuristic based on variable neighborhood search (VNS) and simulated annealing (SA) is proposed to design a proper ...
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Time Series Predictive Analysis based on Hybridization of Meta-heuristic Algorithms
... paper, hybrid predictive modeling of LSSVM with five optimization algorithms namely Moth-flame Optimization (MFO), Cuckoo Search Algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) ...
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A Hybrid Modified Meta-heuristic Algorithm for Solving the Traveling Salesman Problem
... proposed algorithm with some of the best techniques designed including GA, ACS, PSO (Zhong, Zhang and Chen, 2007) and Bee Colony Optimization (BCO) (Wong, Low and Chong, 2008) for ...the algorithm on some ...
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Hybrid Meta Heuristic Search Algorithm For High Dimensional Data Transmission
... This algorithm works in accordance with the natural theory of evolution [28] for obtaining the near-best solution and it involves three main operators, namely, the selection operator, the crossover operator and ...
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An efficient robust hyperheuristic clustering algorithm
... of meta-heuristic and hybrid meta-heuristic based clustering algorithms in the search for solutions within the solution ...existing meta- heuristic based clustering ...
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Handling ill-posedness and overparameterization of rational function model using Bi-objective particle swarm optimization
... regard, Meta- heuristic algorithms have been widely ...existing meta-heuristic methods focus on overparameterization and try to remove some unnecessary RPCs using binary ...phenomenon, ...
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Optimal Allocation of SVC for Enhancement of Voltage Stability Using Harmony Search Algorithm
... A Meta- Heuristic algorithm Known as HSA is proposed to find the optimal sizes of SVC for objective of optimization such as Minimization of Real power loss, and Improvement of Voltage ...
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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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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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Pressure Driven Demand and Leakage Simulation for Pipe Networks Using Differential Evolution
... Traditional techniques for hydraulic analysis of water distribution networks, which are referred to as demand-driven simulation method (DDSM), are normally analyzed under the assumption that nodal demands are known and ...
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