Metaheuristics and Optimization in Computer and Electrical Engineering

Optimization Strategies for Complex Engineering Systems

Metaheuristic algorithms have become essential when conventional optimization methods struggle with nonlinear, multimodal, and heavily constrained problems. This volume, part of Springer’s Lecture Notes in Electrical Engineering series, brings together focused chapters that connect algorithm design with practical engineering applications in computer and electrical systems.

Editors Navid Razmjooy, Mohsen Ashourian, and Zahra Foroozandeh have assembled contributions that show how nature-inspired search strategies can be adapted to real-world engineering challenges.

Algorithms and Applications Covered

The chapters move from algorithm reviews to applied case studies across several domains:

• Jaya algorithm and its applications
• World Cup Optimization for pitch-angle control in hybrid renewable PV/wind systems
• Optimization techniques in intelligent transportation systems
• Multi-objective seeker optimization for low-power Hilbert transformer design
• Metaheuristics for blood image analysis
• Improved World Cup Optimization for power market bidding
• PID control of DC motors using improved Whale Optimization
• Neural-network skin color segmentation enhanced by modified Grasshopper Optimization
• Moth Search Algorithm for robust power system stabilizer design
• Self-adaptive fuzzy logic droop control for islanded microgrids
• Quantum Invasive Weed Optimization for skin melanoma segmentation
• Computational intelligence for multimodal image registration in UAVs
• Metaheuristics in discrete-event simulation
• AWGN channel data transmission for cloud and big data environments

Each chapter generally opens with a literature review of the algorithm and then demonstrates its use on a real-world problem. That structure helps readers understand not only how the method works but also where it fits in engineering practice.

Who This Book Is For

The preface identifies engineers, researchers, scientists, and industrialists as the intended audience. If you are working with optimization problems in power systems, control, image processing, communications, or transportation, the volume offers a concentrated look at bio-inspired search strategies and their engineering applications.

Why It Belongs on Your Shelf

Rather than treating metaheuristics as abstract theory, this collection emphasizes problem-solving. It shows how algorithms such as Jaya, Whale Optimization, Moth Search, and others are adapted to specific electrical and computer engineering challenges. For readers who need to evaluate or apply optimization techniques, the book provides both breadth across algorithms and depth through application-focused case studies.