Multi-objective inventory control using electromagnetism-like meta-heuristic

Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic

“…x * G must satisfy all the constraints and minimize/maximize f G (Tsou and Kao, 2008). In this regard, a variety of approaches can be used to solve this problem.…”

Fractional-order PID controller optimization via improved electromagnetism-like algorithm

“…Feedback control systems form one such area, as witnessed in part by recent special issues on the subject (Gudise & Venayagamoorthy, 2003;Hong & Yuan, 2002;Juang, 2004). The concept of fractional-order processes or controllers has been studied considerably (ACPA, 2002;Birbil & Fang, 2003;Birbil, Fang, & Sheu, 2004;Chang, Chen, & Fan, 2009;Tsou & Kao, 2007;Wu, Yang, & Wei, 2004). This is due to the fact that many real-world systems are characterized by fractional-order differential equations (ACPA, 2002;Birbil & Fang, 2003;Birbil et al, 2004;Chang et al, 2009;Tsou & Kao, 2007;Wu et al, 2004).…”

“…The concept of fractional-order processes or controllers has been studied considerably (ACPA, 2002;Birbil & Fang, 2003;Birbil, Fang, & Sheu, 2004;Chang, Chen, & Fan, 2009;Tsou & Kao, 2007;Wu, Yang, & Wei, 2004). This is due to the fact that many real-world systems are characterized by fractional-order differential equations (ACPA, 2002;Birbil & Fang, 2003;Birbil et al, 2004;Chang et al, 2009;Tsou & Kao, 2007;Wu et al, 2004). Hence, Podlubny proposed a generalization of the PID controller, namely the fractional-order PID controller (FOPID or PI k D d ), where k and d are integers (Tsou & Kao, 2007;Wu et al, 2004).…”

Physics-Inspired Optimization Algorithms: A Survey

“…Numerous applications are developed on the basis of this algorithm such as scheduling problems [147][148][149][150], course timetabling [151], PID controller [152], fuzzy system [153][154][155], vehicle routing problem [156], networking [157], inventory control [158], neural network [159,160], TSP [161,162], feature selection [163], antenna application [164], robotics application [165], flow path designing [166], and vehicle routing [167].…”