This paper presents a novel efficient meta-heuristic optimization algorithm called Colliding
Bodies Optimization (CBO). This algorithm is based on one-dimensional collisions between …

Recent advances in structural technology require greater accuracy, efficiency and speed in
design of structural systems. It is therefore not surprising that new methods have been …

In this paper a new meta-heuristic method, so-called Ray Optimization, is developed. Similar
to other multi-agent methods, Ray Optimization has a number of particles consisting of the …

This paper presents a new optimization algorithm based on some principles from physics
and mechanics, which will be called Charged System Search (CSS). We utilize the …

Global demand for power has significantly increased, but power generation and
transmission capacities have not increased proportionally with this demand. As a result …

Purpose This paper aims to present a new multi-community meta-heuristic optimization
algorithm, which is called shuffled shepherd optimization algorithm (SSOA). In this algorithm …

Classical optimization and search algorithms are not effective for nonlinear, complex, dynam‑
ic large-scaled problems with incomplete informa‑tion. Hence, intelligent optimization …

Computational Modelling in Psychology introduces the principles of using computational
models in psychology and provides a clear idea about how model construction, parameter …

The ability of an Evolutionary Algorithm (EA) to find a global optimal solution depends on its
capacity to find a good rate between exploitation of found-so-far elements and exploration of …

This paper implements the recently developed meta-heuristic algorithm Colliding Bodies
Optimization (CBO) for the optimization of truss structures with discrete sizing variables. The …