Multi objective dragonfly Algorithm(MODA)Fuzzy decision makerCongestion in transmission corridors are the major bother for deregulated power system's operation. Generator rescheduling along with demand alteration is a traditional remedy for transmission line congestion. According to market clearing process, ...
Dragonfly Algorithm (NSDA)60, a reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation61, a many-objective evolutionary algorithm based on hybrid dynamic decomposition62 and use of two penalty values in multiobjective evolutionary algorithm based on ...
The dragonfly algorithm (DA) is one of the optimization techniques developed in recent years. The random flying behavior of dragonflies in nature is modeled in the DA using the Levy flight mechanism (LFM). However, LFM has disadvantages such as the overflowing of the search area and interruptio...
a recently proposed metaheuristic algorithm rooted in specific principles of mathematics exponential distribution theory. We present a multi-objective EDO termed MOEDO, which integrates concepts of multi-objectivity, NDS, CD and IFM theory into the conventional EDO framework. The...
This submission includes the source codes of the multi-objective version of the Grasshopper Optimization Algorithm (GOA) called Multi-Objective Grasshopper Optimization Algorithm (MOGOA). . The main paper is: This is the source codes of the paper: ...
More importantly, the above research ignores the significance of forecasting stability improvement, despite having achieved comparatively desirable forecasting accuracy. Fortunately, several multi-objective optimization algorithms (e.g., the multi-objective dragonfly algorithm (MOSA) [37], multi-objective bat...
To tune the parameters of the forecast model, a number of meta-heuristic algorithms including non-dominated fast sort genetic algorithm (NSGA-II) [21], differential evolution (DE) [22], particle swarm optimization (PSO) [28], dragonfly algorithm (DA) [23] were utilized. To the best of ...
Dragonfly Algorithm is a new population based meta-heuristic algorithm mimic the swarm behavior of dragonflies. The algorithm is tested in 10-unit system on MATLAB 2010b platform. In this paper, weighted sum method has been used to get the best combination of optimum values of both objectives....
Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems Article Open access 20 January 2025 Optimal UPQC location in power distribution network via merging genetic and dragonfly algorithm Article 14 Febru...
Swarm Optimization (GSAPSO), Covariance Matrix Adaptation Evolution Strategy (CMA-ES), Differential Evolution-Crossover Quantum Particle Swarm Optimization (DE-CQPSO), Salp Swarm Algorithm (SSA), Dragonfly Algorithm (DA), and Fuzzy Grasshopper Optimization Algorithm (FGOA) to confirm its efficiency....