Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects

A Fully Decentralized Approach for Solving the Economic Dispatch Problem

“…This problem can be addressed through the use of a more efficient metaheuristic technique that either relies on control parameters less sensitive to the problem formulation and dimensions or incorporates a self-tuning feature. Examples of already-existing self-tuning differential evolution algorithms are those reported in [32] and [35].…”

Multi-objective Optimal Dispatch in Power System Based On a Modified Multi-Objective Teaching-Learning Algorithm

“…The research shows that the algorithm has better convergence performance and strong search ability in this paper [6]. The dynamic economic dispatch problem with valve point effect is solved by combining the chaos operator and the evolutionary algorithm in [7]. Hybrid interior point method and DE forms a new hybrid evolutionary algorithm in [8].…”

Water Evaporation Optimization Algorithm for Solving Dynamic Economic Dispatch

“…To overcome this deficiency, turn to various heuristic techniques such as Genetic Algorithm (GA) [7], Simulated Annealing (SA) [8], Artificial Immune System (AIS) [9], Evolutionary Programming (EP) [10], Differential Evolution (DE) [11], Harmony Search (HS) [12], Artificial Bee Colony (ABC) [13], Imperialist Competitive Algorithm (ICA) [14], Seeker Optimization Algorithm (SOA) [15], Teaching Learning Algorithm (TLA) [16], Improved Particle Swarm Optimization (IPSO) [17], Chaotic Differential Evolution (IDE) [18], Modified Teaching Learning Algorithm (MTLA) [19], Self-Adaptive Modified Firefly Algorithm (SAMFO) [20], Improve Pattern Search (IPS) [21], Enhanced Cross Entropy (ECE) [25], Adaptive Particle Swarm Optimization (APSO) [28], Enhanced Bee Swarm Optimization (EBSO) [35], Deterministic Guided Particle Swarm Optimization (DGPSO) [37]. The main drawback of these heuristic techniques gives the results but struck the local minima and lack of guarantee of convergence infinite time for large scale DED problems.…”