Stochastic economic emission load dispatch

Modified particle swarm optimization for economic-emission load dispatch of power system operation

“…In this approach, each objective function ( F i ) will be transformed into a fuzzy set (membership function) to represent the degree of membership in fuzzy sets based on a value within 0 to 1 [30]. It can be calculated by using the following equation: …”

Solution of Different Types of Economic Load Dispatch Problems Using a Pattern Search Method

“…Information about the generators' fuel cost, NO x emission functions, the B matrix, loss coefficients, and the operating limits are detailed in [36]. The total load demand is set to 700 MW, and the weighting factor is 0.5.…”

Cooperative artificial bee colony algorithm for multi-objective RFID network planning

“…The proposed CMOABC incorporates three changes based on ABC that allow its application in multi-objective optimization problems: (1) CMOABC uses the concept of Pareto dominance to determine the flight direction of a bee and it maintains nondominated solution vectors which have been found in an external archive (Zitzler et al, 2002;Knowles and Corne, 2000;Dhillon et al, 1993); (2) CMOABC applies the crowding distance concept to calculate the corresponding value for all the solutions of the conflicting Pareto front and chooses the sources of the best crowding distances; (3) CMOABC applies the divide-and-conquer strategy so that the complex high-dimensional solution vectors can be decomposed into smaller components. The detail of all the key steps for CMOABC is elaborated in the following sections.…”