Hybrid Meta-Heuristic Algorithms Based Optimal Antenna Selection for Large Scale MIMO in LTE NetworkLarge scale MIMOLTEoptimal antenna selectionsatin bowerbird optimization algorithmparticle swarm optimizationchannel capacityMIMO is a type of antenna technology which utilizes multiple antennas to separate ...
This paper presents a novel hybrid meta-heuristic algorithm called HMGSG to solve the optimization problems. In the proposed HMGSG algorithm, a spiral-shaped path for grey wolf optimization (GWO) is used to ensure both the faster convergence rate and diversity. The mutualism phase of symbiotic ...
HMOSHSSA: a hybrid meta-heuristic approach for solving constrained optimization problemsMulti-objective optimizationHMOSHSSASpotted Hyena OptimizerSalp Swarm AlgorithmConstrained optimizationEngineering design problemsThis paper proposes a novel hybrid multi-objective optimization algorithm named HMOSHSSA by ...
Hence, a meta-heuristic algorithm is what required in reaching the optimal response. Thus, the algorithm is a hybridization of the ant lion optimizer (ALO) algorithm with a Sine Cosine Algorithm (SCA) algorithm and used it multi-objectively to solve the problem of scheduling scientific workflows...
In this paper, two new hybrid metaheuristic Differential Evolution (DE) and Particle Swarm Optimization algorithm (PSO) (denoted by DPD) for solving engineering design problems has been developed. This hybrid algorithm is designed to improve the efficiency of the DE and PSO and remove some of the...
Hybrid Meta-Heuristic based Optimization for Multi-constrained Quality of Service Routing in MANETsIn MANET, designing a dynamic routing algorithm by satisfying QoS requirement is a challenging task. Multi-constrained QoS routing aims to optimize multiple QoS metrics while provisioning required network ...
We describe a hybrid meta-heuristic algorithm for combinatorial optimization problems with a specific reference to the travelling salesman problem (TSP). The method is a combination of a genetic algorithm (GA) and greedy randomized adaptive search procedure (GRASP). A new adaptive fuzzy a greedy se...
A hybrid meta-heuristic optimization method is introduced to efficiently find the optimal shape of concrete gravity dams including dam-water-foundation rock interaction subjected to earthquake loading. The hybrid meta-heuristic optimization method is based on a hybrid of gravitational search algorithm (GSA...
optimization search performance. Remarkably, NNA sets itself apart from traditional meta-heuristic methods by relying solely on population size and stopping criteria, eliminating the need for additional parameters74. NNA is a population-centered optimization algorithm that consists of the following four ...
This paper designed an advanced hybrid algorithm (haDEPSO) to solve the optimization problems, based on multi-population approach. It integrated with sugge