22 hours ago · The HPSO algorithm is used to optimize the control parameters. Adaptive weights and dynamic learning factors are introduced to improve the global optimization ...

4 days ago · We developed a hybrid genetic algorithm based on variable neighborhood search, combining global and local search to balance solution quality and computational ...

5 days ago · This method primarily revolves aroud the adjustment of key parameters, namely inertia weight, cognitive acceleration coefficient and social acceleration ...

3 days ago · GABIL follows a genetic algorithm paradigm to generate and optimize rule sets for decision-making tasks, taking into account the variable-length and position- ...

4 days ago · The primary contribution of this research is the proposal of a novel hybrid algorithm that combines a random wandering strategy within the main loop of an ...

7 days ago · PDF | This paper proposes a novel approach for modelling the dynamic characteristics of composite laminated structures. The proposed numerical model.

2 days ago · In order to test the optimality seeking ability of GSSA, this paper tests the algorithm in the same experimental environment using three benchmark function sets ...

7 days ago · Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem. ... real-parameter single objective ...

6 days ago · This research work envisages addressing fuzzy adjustment of parameters into a hybrid optimization algorithm for solving mathematical benchmark function problems ...

2 days ago · In this paper, we propose a hybrid approach for solving the symmetric traveling salesman problem. The proposed approach combines the ant colony algorithm ...