A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optim…
Highly efficient holistic 2D visibility solution for grid-based environments/maps (C++ and MATLAB). Extends to a planner.
Single robot path planning algorithms implemented in MATLAB. Including heuristic search and incremental heuristic search methods. A*, LPA*, D*Lite
Implementation of Optimal Power Flow using Simulated Annealing.
Adaptive Heterogeneous Improved Dynamic Multi-Swarm PSO (A-HIDMS-PSO) Algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660115
Heterogeneous Improved Dynamic Multi-Swarm PSO (HIDMS-PSO) algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9308313
A new optimization method based on the dynamic of sliding motion along a frictionless inclined plane. In IPO, a collection of agents cooperate with each other and move toward better positions in the search space by employing Newton’s second law and equations of motion. The standard version of the IPO is presented by Mozafari et al. in 2016. Powe…
The Inclined Planes System Optimization (IPO) algorithm is recent algorithm that uses Newton’s second law to perform optimization. After conducting a thorough literature review, this paper proposes an improved version of IPO called IIPO. This improvement is achieved by changing exploratory and exploitative behavior of the standard IPO proportion…
D2DSS - Discrete 2D Soccer Simulator
A simplified and effective version of IPO (called SIPO) with the aim of simplifying the main IPO equations, creating a powerful trade-off between the concepts of exploitation and exploration, and modifying the complexity of their structural parameters.
AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660149
BEPSO: Biased Eavesdropping Particle Swarm Optimisation Algorithm . Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660113
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