-
Chapter
Correction to: Multi-objective Adaptive Guided Differential Evolution for Passively Controlled Structures Equipped with a Tunned Mass Damper
-
Chapter
Opposed Pheromone Ant Colony Optimization for Property Identification of Nonlinear Structures
Opposed pheromone ant colony optimization (OPACO) is an enhanced algorithm that incorporates opposition-based learning within the structure of ant colony optimization (ACO). The proposed algorithm aims to enha...
-
Chapter
Antlion-Facing Ant Colony Optimization in Parameter Identification of the MR Damper as a Semi-active Control Device
A collaborative optimization methodology is proposed for estimating the parameters of magnetorheological (MR) dampers in structural control systems. By integrating the characteristics of antlions and ant colon...
-
Chapter
Multi-objective Adaptive Guided Differential Evolution for Passively Controlled Structures Equipped with a Tunned Mass Damper
This study proposes an approach for the optimum design of tuned mass damper (TMD) in structures utilizing a multi-objective algorithm of Adaptive Guided Differential Evolution (MOAGDE). The TMD system is widel...
-
Living Reference Work Entry In depth
Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
Opposition-based learning (OBL) is an effective approach to improve the performance of metaheuristic optimization algorithms, which are commonly used for solving complex engineering problems. This chapter prov...
-
Living Reference Work Entry In depth
Positron-Enabled Atomic Orbital Search Algorithm for Improved Reliability-Based Design Optimization
Reliability-based design optimization (RBDO) is an essential process in designing reliable engineering systems. However, most metaheuristic algorithms used to solve RBDO problems suffer from premature converge...
-
Living Reference Work Entry In depth
Synergistic Collaboration of Motion-Based Metaheuristics for the Strength Prediction of Cement-Based Mortar Materials Using TSK Model
Considering mortar material’s extensive use in construction over the last few decades, a robust and reliable method is required to estimate its strength based on mix parameters. The reason behind this is the c...
-
Living Reference Work Entry In depth
Incorporating Nelder-Mead Simplex as an Accelerating Operator to Improve the Performance of Metaheuristics in Nonlinear System Identification
This chapter explores the use of Nelder-Mead simplex (NMS) as an accelerating operator to improve the performance of metaheuristic algorithms, which are commonly used for solving complex optimization problems....
