The problem of power system optimization has become a deciding factor in current power system engineering practice with emphasis on cost and emission reduction. The economic and emission dispatch problem has been addressed in this paper using two efficient optimization methods, Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). A hybrid produced from these two algorithms is test...

Whether environmental effects during juvenile development can alter the ontogeny of adult mating behaviour remains largely unexplored. We evaluated the effect of diet on the early expression of conspecific recognition in spadefoot toads, Spea bombifrons. We found that juvenile toads display phonotaxis behaviour six weeks post-metamorphosis. However, preference for conspecifics versus heterospec...

In this study a class of Multi-Objective Genetic Algorithms (MOGAs) is proposed to select the most relevant features for the problem of speech-based emotion recognition. The employed evolutionary algorithms are the Strength Pareto Evolutionary Algorithm (or SPEA), the Preference-Inspired CoEvolutionary Algorithm with goal vectors (or PICEA), and the Nondominated Sorting Genetic Algorithm II (or...

The main objective of this paper is to propose a new hybrid algorithm for solving the Bi green vehicle routing problem (BGVRP) from BicriterionAnt metaheuristic. methodology used subdivided as follows: first, we introduce data GVRP or instances literature. Second, use first cluster route second technique using k-means algorithm, then apply BicriterionAntAPE (BicriterionAnt Adjacent Pairwise Exc...

This paper presents a new multiobjective multicast routing algorithm (MMA) based on the Strength Pareto Evolutionary Algorithm (SPEA), which simultaneously optimizes the cost of the tree, the maximum end-to-end delay, the average delay and the maximum link utilization. In this way, a set of optimal solutions, known as Pareto set, is calculated in only one run, without a priori restrictions. Sim...

A memetic algorithm for tackling multiobjective optimization problems is presented. The algorithm employs the proven local search strategy used in the Pareto archived evolution strategy (PAES) and combines it with the use of a population and recombination. Verification of the new algorithm is carried out by testing it on a set of multiobjective 0/1 knapsack problems. On each problem instance, c...

Original SPE manuscript received for review 10 November 2008. Revised manuscript received 24 December 2008. Paper SPE 122710 peer approved 3 January 2009. Summary This paper presents an integrated method for identifying and inserting valuable flexibility into major projects. It builds upon recent work that (1) documents how errors in estimates can bias the selection of design concepts, (2) show...

This paper was selected for presentation by an SPE Program Committee following review of information contained in a proposal submitted by the author(s).

Phenotypic plasticity is commonplace, and plasticity theory predicts that organisms should often evolve mechanisms to detect and respond to environmental cues that accurately predict future environmental conditions. Here, we test this prediction in tadpoles of spadefoot toads, Spea multiplicata. These tadpoles develop into either an omnivore ecomorph, which is a dietary generalist, or a carnivo...

Kingdom, Italy, Spain, Germany and Fran e June 8, 2000 Gianluigi Pelloni Wolfgang Polasek Department of E onomi s Department of E onomi s Department of Statisti s Fa ulty of Politi al S ien e University of SheÆeld and E onometri s University of Pisa 9 Mappin Street University of Basel Via Sera ni, 3 SheÆeld CH-4051 Basel Pisa, 56126 United Kingdom Switzerland Italy (G.Pelloni sheÆeld.a .uk) (wo...