About the Book
This reader-friendly, practical, and example-driven book provides engineers and researchers with a solid foundation in electric power system operation using optimization algorithms. Written in a clear and lucid style, it enables readers to implement the algorithms in any programming language. 

Key Features:
Combined heat and power, dynamic, multi-area, multi-objective, and multiple-fuel electric power load dispatch variants.
Constraint handling approaches: heuristic and penalty methods.
Multi-objective optimization includes decision making, priority and cardinal ranking, surrogate worth trade-off analysis, Pareto uniformity assessment, best-weight-pattern evaluation, weighting techniques, and price-penalty methods.
Optimization techniques:
Ÿ Conjugate gradient and Newton gradient techniques.
Ÿ Evolutionary, Hooke–Jeeves, simplex search, and Powell pattern search methods.
Ÿ Heuristic search algorithms include Differential evolution, Directional bat, Gravitatioanl search,
Grey wolf, Harris hawk, Predator–prey, Salp swarm, Sine–cosine, Snake optimization, and
Teacher learner-based optimizers.
Hybrid optimization techniques combining local and global optimization methods:
Ÿ Ameliorated grey wolf, Aspiring search, Crisscross team game, Eemended and oppositional
Salp swarm, Enhanced and synergic predator–prey optimizers, Greedy heuristic search, hillclimbed
sine–cosine optimizers, Hybrid artificial algae, Hybrid ion-motion and Improved
directional bat algorithms
Algorithms that are ready to implement in any high-level programming language.
FORTRAN 90 codes for each topic.