Simplified Dolphin Echolocation (SDE) optimization is an improved version of the Dolphin Echolocation optimization. The dolphin echolocation (DE) is a recently proposed metaheuristic algorithm, which was imitated dolphin’s hunting process. The global or near global optimum solution modeled as dolphin’s bait, dolphins send sound in different directions to discover the best bait among their searc...

In this paper, for topology optimization of double layer grids, an efficient optimization method is presented by combination of Imperialist Competitive Algorithm (ICA) and Gravitational Search Algorithm (GSA) which is called ICA-GSA method. The present hybrid method is based on ICA but the moving of countries toward their relevant imperialist is done using the la...

Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algori...

the culture media optimization is an inevitable part of upstream process development in therapeutic monoclonal antibodies (mabs) production. the quality by design (qbd) approach defines the assured quality of the final product through the development stage. an important step in qbd is determination of the main quality attributes. during the media optimization, some of the main quality attribute...

This work is concerned with finding a global optimization technique for a broad class of nonlinear optimization problems, including quadratic and polynomial optimization problems. The main objective of this paper is to investigate how the (hidden) structure of a given real/complexvalued optimization problemmakes it easy to solve. To this end, three conic relaxations are proposed. Necessary and ...

In this paper, different Inertia weight techniques in Particle Swarm Optimization algorithm (PSO) have been compared to search for the optimal PID controller gains for a Continuous Stirred Tank Reactor (CSTR) process. The optimization problem considered is highly nonlinear, complex with multiple objectives, wide operating range and constraints. The efficiency of PSO algorithm lies in the suitab...

A class of search techniques for discrete optimization problems, Heuristic Search Methods, and their suitability for structural optimization are studied. The Tabu Search method is selected for application to structural weight optimization of skeleton structures. The search method is first tested to find the minima of a function in a non-linear non-convex optimization mathematical problem, and a...

natural frequency is one of the parameters that represent useful information about the dynamic behavior of structures. controlling this parameter can decrease the probability of damage under dynamic loading. weight optimization on layout and sizing with frequency constraints is a well known problem because of its highly non-linear behavior. improved ray optimization (iro) algorithm is utilized ...

open-pit production scheduling (opps) problem focuses on determining a block sequencing and scheduling to maximize net present value (npv) of the venture under constraints. the scheduling model is critically sensitive to the economic value volatility of block, block weight, and operational capacity. in order to deal with the opps uncertainties, various approaches can be recommended. robust opti...

offshore jacket-type towers are steel structures designed and constructed in marine environments for various purposes such as oil exploration and exploitation units, oceanographic research, and undersea testing. in this paper a newly developed meta-heuristic algorithm, namely cyclical parthenogenesis algorithm (cpa), is utilized for sizing optimization of a jacket-type offshore structure. the a...