Simulated Annealing: A Probabilistic Optimization Technique
Simulated Annealing (SA) is a probabilistic optimization algorithm inspired by the physical annealing process in metallurgy.
The Physical Annealing Process
Annealing involves heating a material to a specific temperature and then cooling it down gradually. During this process, the internal energy of crystalline molecules tends to decrease. The m ...
Posted on Sun, 26 Jul 2026 17:00:01 +0000 by name1090
Solving the 0/1 Knapsack Problem Using Genetic Algorithms in MATLAB
The 0/1 Knapsack problem is a classic combinatorial optimization challenge. Given a set of items, each with a specific weight $w_i$ and value $v_i$, the goal is to determine wich items to include in a collection so that the total weight does not exceed a predefined limit $W$, while the total value is maximized. This is mathematically expressed ...
Posted on Fri, 22 May 2026 17:39:44 +0000 by GoSharks
Enhancing Global Search Performance via Adaptive Particle Swarm Algorithms
Dynamic Parameter Adjustment in Evolutionary Optimization
Standard Particle Swarm Optimization (PSO) algorithms often struggle with balancing global exploration and local exploitation due to static control parameters. Fixed settings for inertia weight and acceleration coefficients typically cannot adapt to varying stages of the optimization pro ...
Posted on Wed, 20 May 2026 20:00:18 +0000 by herghost